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TCGA-LUAD

Last updated 2026-02-04 16:27 · Cached 2026-02-08 16:59

Features Inference Manifest Tiling Training

Stage Summary Pipeline status at a glance Pipeline

Features
Encoders detected: gigapath_ft (530 files, 465 with labels), h-optimus-0 (530 files, 465 with labels), prov-gigapath (530 files, 465 with labels), uni (530 files, 465 with labels), virchow (530 files, 465 with labels), virchow2 (530 files, 465 with labels)
Inference
695 prediction(s) · 255 positive label(s) · dataset tcga
Manifest
465 rows, 15 columns
Tiling
Tiling manifest covers 540 case(s), 465 with labels
Training
180 training run(s)

Case Summary Track cohort coverage by encoder Cohort

Cases Inspect case-level tiles and encoders Cases

Manifest Overview Preview the manifest and target distribution Manifest

Download CSV

465 rows · 11 columns

Target: EGFR_BINARY Target: EGFR Target: KRAS_BINARY Target: KRAS

slide_id	DMP_ASSAY_ID	split_1	split_2	split_3	split_4	split_5	EGFR	KRAS_binary	KRAS
TCGA-05-4244_TCGA-05-4244-01Z-00-DX1	TCGA-05-4244_TCGA-05-4244-01Z-00-DX1	test	test	train	train	test	Negative	1	Positive
TCGA-05-4249_TCGA-05-4249-01Z-00-DX1	TCGA-05-4249_TCGA-05-4249-01Z-00-DX1	test	train	train	test	train	Negative	1	Positive
TCGA-05-4250_TCGA-05-4250-01Z-00-DX1	TCGA-05-4250_TCGA-05-4250-01Z-00-DX1	train	train	train	test	train	Negative	1	Positive
TCGA-05-4382_TCGA-05-4382-01Z-00-DX1	TCGA-05-4382_TCGA-05-4382-01Z-00-DX1	train	train	train	train	test	Negative	0	Negative
TCGA-05-4395_TCGA-05-4395-01Z-00-DX1	TCGA-05-4395_TCGA-05-4395-01Z-00-DX1	train	train	train	test	train	Negative	1	Positive

Cross-Validation Performance Compare experiments across validation splits Validation

Training Runs Artifacts and metrics for each experiment Experiments

Gene Show archived Expand All

Model	Target	Aggregator	Split	Epoch 200	Macro AUC	Macro BER	Macro FPR	Macro FNR	Artifact
h-optimus-0	EGFR	GMA PUB	split_1	120	0.75	0.4511904761904762	0.0357142857142857	0.8666666666666667	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_1	120	0.6760138050043141	0.375150992234685	0.2421052631578947	0.5081967213114754	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_3	120	0.5830783078307831	0.4699369936993699	0.3762376237623762	0.5636363636363636	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_4	120	0.6244019138755981	0.4471026049973418	0.2626262626262626	0.631578947368421	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_2	120	0.8304856115107914	0.2715827338129496	0.0431654676258992	0.5	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_3	120	0.6070559610705596	0.4422141119221411	0.0510948905109489	0.8333333333333334	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_1	120	0.7623809523809524	0.4511904761904762	0.0357142857142857	0.8666666666666667	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_4	120	0.8255395683453237	0.4278327338129496	0.0431654676258992	0.8125	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_2	120	0.6199819981998199	0.3972997299729973	0.2673267326732673	0.5272727272727272	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_1	120	0.6657142857142857	0.4809523809523809	0.0285714285714285	0.9333333333333332	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_2	120	0.7799010791366907	0.445818345323741	0.079136690647482	0.8125	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_5	120	0.7230525362318841	0.4519927536231884	0.0289855072463768	0.875	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_2	120	0.5861386138613862	0.4609360936093609	0.2673267326732673	0.6545454545454545	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_2	120	0.5837083708370836	0.4295229522952295	0.2772277227722772	0.5818181818181818	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_1	120	0.594909404659189	0.4231233822260569	0.3052631578947368	0.5409836065573771	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_1	120	0.6966666666666667	0.4214285714285714	0.0428571428571428	0.8	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_2	120	0.5194419441944194	0.5022502250225023	0.2772277227722772	0.7272727272727273	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_2	120	0.8684802158273381	0.3725269784172662	0.0575539568345323	0.6875	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_4	120	0.6384892086330936	0.4120953237410072	0.1366906474820144	0.6875	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_5	120	0.9067028985507248	0.3306159420289855	0.036231884057971	0.625	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_5	120	0.7880434782608696	0.4592391304347826	0.0434782608695652	0.875	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_4	120	0.7122984228247387	0.3543328017012227	0.2525252525252525	0.4561403508771929	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_2	120	0.7455035971223023	0.4422212230215827	0.0719424460431654	0.8125	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_1	120	0.6508196721311474	0.3938740293356342	0.2631578947368421	0.5245901639344263	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_3	120	0.6156615661566156	0.4096309630963096	0.3465346534653465	0.4727272727272727	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_4	120	0.6244019138755981	0.4471026049973418	0.2626262626262626	0.631578947368421	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_3	120	0.7814274128142741	0.4166666666666667	0.0	0.8333333333333334	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_2	120	0.7455035971223023	0.4422212230215827	0.0719424460431654	0.8125	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_3	120	0.6504460665044607	0.4590429845904298	0.0291970802919708	0.8888888888888888	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_1	120	0.6569047619047619	0.3988095238095238	0.0642857142857142	0.7333333333333333	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_4	120	0.8878147482014389	0.2823741007194245	0.0647482014388489	0.5	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_5	120	0.5736363636363636	0.4113636363636364	0.35	0.4727272727272727	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_4	120	0.8158723021582734	0.414568345323741	0.079136690647482	0.75	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_2	120	0.6344424460431655	0.5047212230215827	0.0719424460431654	0.9375	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_4	120	0.6341485025695552	0.4194577352472089	0.2424242424242424	0.5964912280701754	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_3	120	0.7317518248175183	0.4626926196269261	0.0364963503649635	0.8888888888888888	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_1	120	0.6569047619047619	0.3988095238095238	0.0642857142857142	0.7333333333333333	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_2	120	0.6439243924392438	0.4361836183618361	0.2178217821782178	0.6545454545454545	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_4	120	0.7122984228247387	0.3543328017012227	0.2525252525252525	0.4561403508771929	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_2	120	0.6439243924392438	0.4361836183618361	0.2178217821782178	0.6545454545454545	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_5	120	0.5736363636363636	0.4113636363636364	0.35	0.4727272727272727	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_1	120	0.7733333333333333	0.3369047619047619	0.0071428571428571	0.6666666666666666	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_2	120	0.8304856115107914	0.2715827338129496	0.0431654676258992	0.5	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_5	120	0.6181818181818182	0.4222727272727272	0.39	0.4545454545454545	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_4	120	0.650629097997519	0.4457735247208931	0.2424242424242424	0.6491228070175439	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_3	120	0.6070559610705596	0.4422141119221411	0.0510948905109489	0.8333333333333334	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_3	120	0.5830783078307831	0.4699369936993699	0.3762376237623762	0.5636363636363636	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_5	120	0.7230525362318841	0.4519927536231884	0.0289855072463768	0.875	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_4	120	0.6572744993797626	0.3854332801701223	0.1919191919191919	0.5789473684210527	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_5	120	0.7880434782608696	0.4592391304347826	0.0434782608695652	0.875	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_4	120	0.6591352117667907	0.385699096225412	0.2626262626262626	0.5087719298245614	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_5	120	0.8455615942028987	0.2789855072463768	0.0579710144927536	0.5	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_1	120	0.6760138050043141	0.375150992234685	0.2421052631578947	0.5081967213114754	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_5	120	0.6702898550724637	0.4207427536231884	0.0289855072463768	0.8125	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_2	120	0.5194419441944194	0.5022502250225023	0.2772277227722772	0.7272727272727273	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_1	120	0.6508196721311474	0.3938740293356342	0.2631578947368421	0.5245901639344263	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_1	120	0.6963761863675582	0.3516824849007765	0.3263157894736842	0.3770491803278688	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_1	120	0.5528904227782572	0.4628990509059534	0.3684210526315789	0.5573770491803278	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_4	120	0.6591352117667907	0.385699096225412	0.2626262626262626	0.5087719298245614	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_4	120	0.8981564748201439	0.3689298561151079	0.0503597122302158	0.6875	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_1	120	0.6657142857142857	0.4809523809523809	0.0285714285714285	0.9333333333333332	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_4	120	0.8981564748201439	0.3689298561151079	0.0503597122302158	0.6875	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_2	120	0.5837083708370836	0.4295229522952295	0.2772277227722772	0.5818181818181818	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_3	120	0.5624662466246624	0.4518451845184518	0.2673267326732673	0.6363636363636364	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_4	120	0.8878147482014389	0.2823741007194245	0.0647482014388489	0.5	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_5	120	0.9067028985507248	0.3306159420289855	0.036231884057971	0.625	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_1	120	0.6963761863675582	0.3516824849007765	0.3263157894736842	0.3770491803278688	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_4	120	0.6572744993797626	0.3854332801701223	0.1919191919191919	0.5789473684210527	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_1	120	0.5893011216566005	0.4447799827437446	0.3157894736842105	0.5737704918032787	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_5	120	0.7937047101449276	0.3967391304347826	0.0434782608695652	0.75	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_5	120	0.6184545454545454	0.3586363636363636	0.19	0.5272727272727272	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_4	120	0.814748201438849	0.2967625899280575	0.0935251798561151	0.5	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_5	120	0.8455615942028987	0.2789855072463768	0.0579710144927536	0.5	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_3	120	0.6774077407740773	0.3774977497749774	0.2277227722772277	0.5272727272727272	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_5	120	0.6702898550724637	0.4207427536231884	0.0289855072463768	0.8125	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_2	120	0.8684802158273381	0.3725269784172662	0.0575539568345323	0.6875	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_5	120	0.5896363636363636	0.4004545454545454	0.31	0.4909090909090909	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_3	120	0.6536453645364537	0.4055805580558055	0.2475247524752475	0.5636363636363636	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_1	120	0.594909404659189	0.4231233822260569	0.3052631578947368	0.5409836065573771	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_3	120	0.783860502838605	0.4663422546634225	0.0437956204379562	0.8888888888888888	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_4	120	0.8255395683453237	0.4278327338129496	0.0431654676258992	0.8125	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_5	120	0.6595454545454544	0.3663636363636363	0.26	0.4727272727272727	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_1	120	0.5528904227782572	0.4628990509059534	0.3684210526315789	0.5573770491803278	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_3	120	0.6156615661566156	0.4096309630963096	0.3465346534653465	0.4727272727272727	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_2	120	0.700089928057554	0.3653327338129496	0.0431654676258992	0.6875	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_4	120	0.6341485025695552	0.4194577352472089	0.2424242424242424	0.5964912280701754	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_2	120	0.5861386138613862	0.4609360936093609	0.2673267326732673	0.6545454545454545	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_5	120	0.7937047101449276	0.3967391304347826	0.0434782608695652	0.75	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_3	120	0.6774077407740773	0.3774977497749774	0.2277227722772277	0.5272727272727272	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_3	120	0.6791179117911792	0.3865886588658865	0.2277227722772277	0.5454545454545454	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_1	120	0.75	0.4511904761904762	0.0357142857142857	0.8666666666666667	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_1	120	0.5893011216566005	0.4447799827437446	0.3157894736842105	0.5737704918032787	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_3	120	0.5624662466246624	0.4518451845184518	0.2673267326732673	0.6363636363636364	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_5	120	0.6184545454545454	0.3586363636363636	0.19	0.5272727272727272	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_1	120	0.6966666666666667	0.4214285714285714	0.0428571428571428	0.8	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_1	120	0.7733333333333333	0.3369047619047619	0.0071428571428571	0.6666666666666666	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_4	120	0.6384892086330936	0.4120953237410072	0.1366906474820144	0.6875	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_5	120	0.6595454545454544	0.3663636363636363	0.26	0.4727272727272727	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_3	120	0.7538523925385239	0.4795214922952149	0.0145985401459854	0.9444444444444444	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_5	120	0.4807272727272727	0.4759090909090909	0.37	0.5818181818181818	`cumulative_results.csv`
virchow2	KRAS	GMA PUB	split_5	120	0.5896363636363636	0.4004545454545454	0.31	0.4909090909090909	`cumulative_results.csv`
gigapath_ft	EGFR	GMA PUB	split_3	120	0.7814274128142741	0.4166666666666667	0.0	0.8333333333333334	`cumulative_results.csv`
uni	KRAS	GMA PUB	split_4	120	0.650629097997519	0.4457735247208931	0.2424242424242424	0.6491228070175439	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_3	120	0.6536453645364537	0.4055805580558055	0.2475247524752475	0.5636363636363636	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_3	120	0.7538523925385239	0.4795214922952149	0.0145985401459854	0.9444444444444444	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_2	120	0.700089928057554	0.3653327338129496	0.0431654676258992	0.6875	`cumulative_results.csv`
virchow	KRAS	GMA PUB	split_5	120	0.4807272727272727	0.4759090909090909	0.37	0.5818181818181818	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_4	120	0.814748201438849	0.2967625899280575	0.0935251798561151	0.5	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_2	120	0.6531053105310531	0.4279027902790279	0.2376237623762376	0.6181818181818182	`cumulative_results.csv`
h-optimus-0	KRAS	GMA PUB	split_2	120	0.6531053105310531	0.4279027902790279	0.2376237623762376	0.6181818181818182	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_3	120	0.783860502838605	0.4663422546634225	0.0437956204379562	0.8888888888888888	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_4	120	0.8158723021582734	0.414568345323741	0.079136690647482	0.75	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_3	120	0.6791179117911792	0.3865886588658865	0.2277227722772277	0.5454545454545454	`cumulative_results.csv`
gigapath_ft	KRAS	GMA PUB	split_5	120	0.6181818181818182	0.4222727272727272	0.39	0.4545454545454545	`cumulative_results.csv`
h-optimus-0	EGFR	GMA PUB	split_3	120	0.6504460665044607	0.4590429845904298	0.0291970802919708	0.8888888888888888	`cumulative_results.csv`
virchow2	EGFR	GMA PUB	split_2	120	0.7799010791366907	0.445818345323741	0.079136690647482	0.8125	`cumulative_results.csv`
prov-gigapath	EGFR	GMA PUB	split_1	120	0.7623809523809524	0.4511904761904762	0.0357142857142857	0.8666666666666667	`cumulative_results.csv`
virchow	EGFR	GMA PUB	split_2	120	0.6344424460431655	0.5047212230215827	0.0719424460431654	0.9375	`cumulative_results.csv`
uni	EGFR	GMA PUB	split_3	120	0.7317518248175183	0.4626926196269261	0.0364963503649635	0.8888888888888888	`cumulative_results.csv`
prov-gigapath	KRAS	GMA PUB	split_2	120	0.6199819981998199	0.3972997299729973	0.2673267326732673	0.5272727272727272	`cumulative_results.csv`

External Inference Diagnostics Interactive ROC/PR curves for each external inference experiment Inference