Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research-Reference-Cited by-同舟云学术

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research

Published:2023 Issue: Volume:11 Page:108727-108745
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ghorpade Himali¹,Jagtap Jayant²^ORCID,Patil Shruti³^ORCID,Kotecha Ketan³^ORCID,Abraham Ajith⁴^ORCID,Horvat Natally⁵^ORCID,Chakraborty Jayasree⁶^ORCID

Affiliation:

1. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

2. Artificial Intelligence and Machine Learning Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

3. Symbiosis Centre for Applied Artificial Intelligence, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

4. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India

5. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

6. Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA

Funder

Analytical Center for the Government of the Russian Federation

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/ielx7/6287639/10005208/10266318.pdf?arnumber=10266318

Reference76 articles.

1. Automatic segmentation of abdominal organs and adipose tissue compartments in water-fat MRI: Application to weight-loss in obesity

2. Temperature guided network for 3D joint segmentation of the pancreas and tumors

3. Dermatologist-level classification of skin cancer with deep neural networks

4. Segmentation of pancreatic tumors based on multi‐scale convolution and channel attention mechanism in the encoder‐decoder scheme

5. Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation

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