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PS-DeVCEM: Pathology-sensitive deep learning model for video capsule
  endoscopy based on weakly labeled data

PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data

22 November 2020
A. Mohammed
I. Farup
Marius Pedersen
Sule YAYILGAN YILDIRIM
Ø. Hovde
ArXivPDFHTML

Papers citing "PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data"

3 / 3 papers shown
Title
Evaluating clinical diversity and plausibility of synthetic capsule
  endoscopic images
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images
Anuja Vats
Marius Pedersen
A. Mohammed
Ø. Hovde
MedIm
23
9
0
16 Jan 2023
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for
  Improving Generalization with Few Labels
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels
Anuja Vats
A. Mohammed
Marius Pedersen
OOD
11
7
0
10 Jun 2022
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy
  Videos using Ordinal Multi-Instance Learning
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning
Evan Schwab
G. O. Cula
K. Standish
Stephen S. F. Yip
A. Stojmirović
Louis R. Ghanem
C. Chehoud
19
13
0
29 Sep 2021
1