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1.
Development and Validation Study of the Prognostic Impact of Deep Learning-Determined Myxoid Stroma After Neoadjuvant Chemotherapy in Patients with Esophageal Squamous Cell Carcinoma.
Ann Surg Oncol
; 2024 Jun 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-38914836
2.
Cancer-associated fibroblasts at the unfavorable desmoplastic stroma promote colorectal cancer aggressiveness: Potential role of ADAM9.
Int J Cancer
; 150(10): 1706-1721, 2022 05 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35080810
3.
Deep-learning-based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma.
Histopathology
; 81(2): 255-263, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-35758184
4.
Automated Detection and Classification of Desmoplastic Reaction at the Colorectal Tumour Front Using Deep Learning.
Cancers (Basel)
; 13(7)2021 Mar 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-33807394
5.
Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning.
Cancers (Basel)
; 13(7)2021 Apr 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33915698
6.
Prognostic significance of mesothelin expression in colorectal cancer disclosed by area-specific four-point tissue microarrays.
Virchows Arch
; 477(3): 409-420, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32107600
7.
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients.
NPJ Digit Med
; 3: 71, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32435699
8.
Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer.
Cancer Immunol Res
; 7(4): 609-620, 2019 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-30846441
9.
Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.
Sci Rep
; 9(1): 5174, 2019 03 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-30914794
10.
Novel Internationally Verified Method Reports Desmoplastic Reaction as the Most Significant Prognostic Feature For Disease-specific Survival in Stage II Colorectal Cancer.
Am J Surg Pathol
; 43(9): 1239-1248, 2019 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-31206364
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