Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation

Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19

(2021) Jinpeng Li et al.   PATTERN RECOGNITION

CaDIS: Cataract dataset for surgical RGB-image segmentation

(2021) Maria Grammatikopoulou et al.   MEDICAL IMAGE ANALYSIS

SurgiNet: Pyramid Attention Aggregation and Class-wise Self-Distillation for Surgical Instrument Segmentation

(2021) Zhen-Liang Ni et al.   MEDICAL IMAGE ANALYSIS

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

U2-Net: Going deeper with nested U-structure for salient object detection

(2020) Xuebin Qin et al.   PATTERN RECOGNITION

Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images

(2020) Takafumi Nemoto et al.   Physica Medica-European Journal of Medical Physics

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis

(2020) Lei Song et al.   IEEE Journal of Biomedical and Health Informatics

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images

(2020) Yue Zhou et al.   MEDICAL IMAGE ANALYSIS

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation

(2018) Holger R. Roth et al.   MEDICAL IMAGE ANALYSIS

Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy

(2018) Yuan-Yuan Zhao et al.   ENDOSCOPY

Medical Image Analysis using Convolutional Neural Networks: A Review

(2018) Syed Muhammad Anwar et al.   JOURNAL OF MEDICAL SYSTEMS

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets

(2016) Peijun Hu et al.   International Journal of Computer Assisted Radiology and Surgery

Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh

(2014) Aurélien Rizk et al.   Nature Protocols

Blood vessel segmentation methodologies in retinal images – A survey

(2012) M.M. Fraz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE