Detalhe da pesquisa
1.
Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers.
Mod Pathol
; 36(4): 100086, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36788085
2.
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery.
Sensors (Basel)
; 18(1)2018 Jan 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-29315279
3.
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides.
NPJ Precis Oncol
; 8(1): 56, 2024 Mar 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38443695
4.
A CAD system for automatic dysplasia grading on H&E cervical whole-slide images.
Sci Rep
; 13(1): 3970, 2023 03 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36894572
5.
iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images.
Cancers (Basel)
; 14(10)2022 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35626093
6.
Quality Control in Digital Pathology: Automatic Fragment Detection and Counting.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 588-593, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085930
7.
CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance.
Sci Rep
; 11(1): 14358, 2021 07 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-34257363
8.
Author Correction: An interpretable machine learning system for colorectal cancer diagnosis from pathology slides.
NPJ Precis Oncol
; 8(1): 83, 2024 Apr 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38570614
9.
Three-Dimensional Planning Tool for Breast Conserving Surgery: A Technological Review.
Crit Rev Biomed Eng
; 46(6): 523-580, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30806213