MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

21 October 2019

Papers citing "MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning"

7 / 7 papers shown

Title
Medical Image Analysis for Detection, Treatment and Planning of Disease using Artificial Intelligence Approaches Nand lal Yadav Satyendra Singh Rajesh Kumar Sudhakar Singh 16 0 0 18 May 2024
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 19 2 0 24 Oct 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation Dominik Muller Iñaki Soto Rey Frank Kramer 35 277 0 10 Feb 2022
MISeval: a Metric Library for Medical Image Segmentation Evaluation Dominik Muller D. Hartmann Philip Meyer Florian Auer Iñaki Soto Rey Frank Kramer 15 19 0 23 Jan 2022
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 19 30 0 31 Oct 2021
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 20 29 0 22 Feb 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 278 10,608 0 19 Feb 2017