Tolkach-ESCA

9,000 tiles of oesophageal tissue across six classes — tumour, regression, adventitia, muscularis propria, oesophageal and gastric mucosa — from three centers (UKK, WNS and CHA), scored at k = 61. The TCGA cohort of the original Tolkach dataset is held out, following PathoROB, so like Camelyon this is scored outside TCGA.

Tolkach-ESCA, sorted by median CRoMa. Columns are explained under Reading the columns; † marks the natural-image control (The natural-image control).

Model

bio bacc

conf bacc

RI

MaRI

CRoMa

F(0)

LTM₁₀

support

Midnight-12k

0.976

0.728

0.943

0.941

0.58

0.051

-0.08

99.0%

Mascaret

0.977

0.445

0.972

0.973

0.51

0.030

0.01

100.0%

RudolfV-2-S

0.984

0.599

0.967

0.975

0.49

0.032

-0.00

99.8%

CONCH

0.973

0.654

0.951

0.957

0.44

0.045

-0.04

99.8%

RudolfV-2

0.986

0.637

0.966

0.969

0.41

0.032

-0.01

99.4%

RudolfV-2-B

0.984

0.664

0.960

0.968

0.41

0.036

-0.02

99.0%

CONCHv1.5

0.973

0.633

0.952

0.964

0.39

0.043

-0.03

99.9%

GenBio-PathFM

0.981

0.598

0.960

0.964

0.39

0.038

-0.02

99.9%

H0-mini

0.967

0.642

0.935

0.946

0.38

0.058

-0.07

99.7%

Virchow

0.970

0.703

0.935

0.943

0.37

0.053

-0.05

99.6%

Virchow2

0.978

0.613

0.954

0.957

0.35

0.040

-0.04

99.6%

MUSK

0.969

0.739

0.924

0.931

0.29

0.063

-0.07

99.2%

H-optimus-1

0.977

0.680

0.940

0.949

0.26

0.049

-0.04

99.1%

Phaet

0.967

0.619

0.935

0.946

0.25

0.050

-0.03

100.0%

GPFM

0.969

0.841

0.883

0.902

0.24

0.095

-0.10

97.6%

H-optimus-0

0.971

0.731

0.911

0.919

0.23

0.076

-0.08

98.5%

UNI2-h

0.976

0.767

0.916

0.927

0.22

0.064

-0.06

97.7%

mSTAR

0.970

0.818

0.881

0.898

0.19

0.087

-0.09

97.7%

DINOv2-B †

0.905

0.535

0.876

0.867

0.18

0.099

-0.07

100.0%

Phikon

0.962

0.898

0.772

0.782

0.17

0.179

-0.19

81.5%

UNI

0.973

0.835

0.880

0.891

0.17

0.086

-0.08

95.3%

Hibou-B

0.967

0.916

0.774

0.775

0.13

0.188

-0.17

85.7%

Prov-GigaPath

0.962

0.929

0.707

0.746

0.13

0.236

-0.16

79.1%

Prost40M

0.911

0.838

0.701

0.721

0.13

0.277

-0.24

96.2%

Phikon-v2

0.956

0.896

0.741

0.746

0.12

0.225

-0.17

83.3%

Hibou-L

0.955

0.960

0.624

0.586

0.11

0.315

-0.29

67.0%

One provenance caveat: the RudolfV-2 family’s disclosed Charité/LMU institutional corpus creates a possible institutional/source-domain overlap with this cohort’s CHA center. Exact patient or slide overlap is unknown, so this does not establish leakage — but read the family’s scores here with it in mind.

The mildest of the three cohorts — 0 encoders fall below zero — and the one where the count-based indices run out of room: 16 of the 25 ranked encoders score above 0.90 on RI, so RI and MaRI have largely stopped separating models here while CRoMa still spreads the panel.

The two rankings, on this cohort alone:

Median CRoMa against tail severity LTM₁₀ on Tolkach-ESCA. Better is up and to the right; ringed points are undominated on both axes and named, and the shaded region is dominated on both. Hover or tab to any point to name it with its two values. The natural-image control is excluded — the frontier is a pathology-only claim.

The distribution explorer

The same explorer as the aggregate page’s, pinned to Tolkach-ESCA. Click a row to move the detail, drag across the detail curve to count the samples in any range, and pick a second encoder under Compare with to overlay its shape.

Several encoders are visibly bimodal — one population of neighbourhoods comfortably biology-dominant, another close to the line. A median reports where the middle of that lands and says nothing about the split, which is the case tail reporting exists for.

Shortcut susceptibility

Shortcut susceptibility for every encoder on this cohort, in domain (ID) and out of domain (OOD); the natural-image control sits last. Rows are ranked by Change at V = 1, the normalized change at maximum confounding, because nIPD averages over the whole range: an early gain there can pay for a late collapse, so a curve ending at chance can outrank one that never moved. Rows ending at or below -0.900 are marked ≈ chance, where none of the above-chance margin survives.

Bold marks the leading ranked encoder in each column where higher is better, so a column that disagrees with the ranking shows it at a glance. Each caption reports Spearman ρ, the rank correlation between the CRoMa and nIPD columns: how closely the two order the encoders the same way. Shortcut susceptibility defines the measure and holds the interactive explorer.

Tolkach-ESCA — ID; Spearman ρ = 0.95; n=25 ranked pathology encoders

Model

Median CRoMa (m=5)

Change at V = 1

nIPD

Baseline balanced accuracy

Mascaret

0.507

0.011

0.006

0.974

RudolfV-2-S

0.485

0.011

0.006

0.976

GenBio-PathFM

0.390

0.005

0.003

0.972

RudolfV-2

0.412

0.004

0.000

0.983

RudolfV-2-B

0.407

0.003

0.000

0.979

Midnight-12k

0.584

-0.002

0.002

0.974

CONCH

0.439

-0.002

-0.000

0.973

Virchow2

0.351

-0.002

-0.002

0.984

H0-mini

0.380

-0.004

-0.002

0.970

MUSK

0.293

-0.006

-0.001

0.968

CONCHv1.5

0.392

-0.006

-0.001

0.973

Virchow

0.371

-0.010

-0.005

0.977

H-optimus-1

0.260

-0.010

-0.003

0.973

Phaet

0.249

-0.016

-0.003

0.966

UNI2-h

0.221

-0.020

-0.008

0.972

mSTAR

0.187

-0.025

-0.005

0.977

H-optimus-0

0.232

-0.031

-0.007

0.968

UNI

0.175

-0.053

-0.011

0.980

GPFM

0.241

-0.054

-0.014

0.972

Phikon

0.175

-0.116

-0.024

0.969

Hibou-B

0.134

-0.144

-0.024

0.973

Prost40M

0.127

-0.184

-0.049

0.929

Phikon-v2

0.122

-0.194

-0.041

0.973

Prov-GigaPath

0.132

-0.209

-0.042

0.969

Hibou-L

0.111

-0.215

-0.039

0.973

DINOv2-B †

0.175

-0.034

-0.008

0.942

Tolkach-ESCA — OOD; Spearman ρ = 0.81; n=25 ranked pathology encoders

Model

Median CRoMa (m=5)

Change at V = 1

nIPD

Baseline balanced accuracy

RudolfV-2-S

0.485

0.004

0.002

0.971

Virchow2

0.351

0.002

0.001

0.975

Mascaret

0.507

0.002

0.001

0.969

Midnight-12k

0.584

0.002

0.004

0.966

RudolfV-2

0.412

0.002

-0.000

0.974

CONCH

0.439

0.001

-0.000

0.964

RudolfV-2-B

0.407

0.000

-0.000

0.974

CONCHv1.5

0.392

-0.000

0.001

0.962

GenBio-PathFM

0.390

-0.001

0.000

0.970

H-optimus-1

0.260

-0.003

-0.000

0.971

H0-mini

0.380

-0.003

-0.003

0.966

Virchow

0.371

-0.004

-0.002

0.967

UNI2-h

0.221

-0.004

-0.002

0.972

MUSK

0.293

-0.004

-0.000

0.959

Phaet

0.249

-0.006

-0.000

0.958

H-optimus-0

0.232

-0.008

-0.002

0.962

UNI

0.175

-0.011

-0.001

0.968

mSTAR

0.187

-0.012

-0.003

0.968

Hibou-B

0.134

-0.019

-0.000

0.965

GPFM

0.241

-0.020

-0.003

0.960

Prov-GigaPath

0.132

-0.039

-0.007

0.968

Phikon

0.175

-0.041

-0.006

0.958

Phikon-v2

0.122

-0.068

-0.013

0.961

Hibou-L

0.111

-0.081

-0.012

0.964

Prost40M

0.127

-0.096

-0.028

0.922

DINOv2-B †

0.175

-0.028

-0.006

0.923