A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images-Reference-Cited by-同舟云学术

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

Published:2023 Issue: Volume:11 Page:108982-108994
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Inamdar Mahesh Anil¹,Raghavendra U.²^ORCID,Gudigar Anjan²^ORCID,Bhandary Sarvesh¹,Salvi Massimo³^ORCID,Deo Ravinesh C.⁴^ORCID,Barua Prabal Datta⁵^ORCID,Ciaccio Edward J.⁶,Molinari Filippo³^ORCID,Acharya U. Rajendra⁴^ORCID

Affiliation:

1. Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

3. Department of Electronics and Telecommunications, Biolab, PolitoBIOMed Laboratory, Politecnico di Torino, Turin, Italy

4. School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, Australia

5. Cogninet Brain Team, Cogninet Australia, Sydney, NSW, Australia

6. Department of Medicine, Columbia University, New York, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10268413.pdf?arnumber=10268413

Reference66 articles.

1. Diagnosis of “Poorly Formed Glands” Gleason Pattern 4 Prostatic Adenocarcinoma on Needle Biopsy

2. Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors

3. Interobserver Reproducibility of Percent Gleason Pattern 4 in Prostatic Adenocarcinoma on Prostate Biopsies

4. Representación de imágenes de histopatología utilizada en tareas de análisis automático: estado del arte

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