Enhancing U-Net with Spatial-Channel Attention Gate for Abnormal Tissue Segmentation in Medical Imaging

X-Ray Bone Fracture Classification Using Deep Learning: A Baseline for Designing a Reliable Approach

(2020) Leonardo Tanzi et al.   Applied Sciences-Basel

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

(2019) Mateusz Buda et al.   COMPUTERS IN BIOLOGY AND MEDICINE

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

(2019) Zongwei Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

(2018) Hongyang Li et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Recalibrating Fully Convolutional Networks with Spatial and Channel ‘Squeeze & Excitation’ Blocks

(2018) Abhijit Guha Roy et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

(2015) Jorge Bernal et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS