Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

6 November 2019

Papers citing "Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications"

5 / 5 papers shown

Title
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review Rui Jin Derun Li Dehui Xiang Lei Zhang Hailing Zhou Fei Shi Weifang Zhu Jing Cai Tao Peng Xinjian Chen 44 0 0 09 Jul 2024
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients J. Nalepa Krzysztof Kotowski B. Machura Szymon Adamski O. Bożek ... Marek Strzelczak Lukasz Zarudzki A. Krason F. Arcadu J. Tessier 21 18 0 03 Sep 2022
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy J. Chun Justin C. Park S. Olberg You Zhang D. Nguyen Jing Wang Jin Sung Kim Steve B. Jiang 31 21 0 23 Apr 2021
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017