Image and Video Processing · Electrical Eng. & Systems
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning
Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee +5
2023-06-27
Computer Vision and Pattern Recognition · Computer Science
Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review
Maged Abdalla Helmy Mohamed Abdou, Trung Tuyen Truong, Eric Jul, Paulo Ferreira
2022-05-12
Image and Video Processing · Electrical Eng. & Systems
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
Marta Girones Sanguesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf
2021-08-29
Image and Video Processing · Electrical Eng. & Systems
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse +2
2023-01-24
Image and Video Processing · Electrical Eng. & Systems
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review
Jiyang Jiang, Dadong Wang, Yang Song, Perminder S. Sachdev +1
2022-04-05
Image and Video Processing · Electrical Eng. & Systems
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong +2
2019-07-26
Image and Video Processing · Electrical Eng. & Systems
DEEPMIR: A DEEP neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI
Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware +6
2021-06-08
Image and Video Processing · Electrical Eng. & Systems
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian +8
2021-09-01
Computer Vision and Pattern Recognition · Computer Science
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices
Tiancheng Xia, Richard Jiang, YongQing Fu, Nanlin Jin
2020-01-08
Image and Video Processing · Electrical Eng. & Systems
Automated detection of Alzheimer disease using MRI images and deep neural networks- A review
Narotam Singh, Patteshwari. D, Neha Soni, Amita Kapoor
2022-09-26
Image and Video Processing · Electrical Eng. & Systems
Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
Nazik Elsayed, Yousuf Babiker M. Osman, Cheng Li, Jiong Zhang +1
2024-04-03
Computer Vision and Pattern Recognition · Computer Science
A Review on Automated Brain Tumor Detection and Segmentation from MRI of Brain
Sudipta Roy, Sanjay Nag, Indra Kanta Maitra, Samir Kumar Bandyopadhyay
2013-12-24
Computer Vision and Pattern Recognition · Computer Science
A Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges
Yee-Hui Oh, John See, Anh Cat Le Ngo, Raphael Chung-Wei Phan +1
2018-06-18
Image and Video Processing · Electrical Eng. & Systems
Brain MRI Screening Tool with Federated Learning
Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios Efstathopoulos +4
2023-11-27
Image and Video Processing · Electrical Eng. & Systems
Leukemia detection based on microscopic blood smear images using deep learning
Abdelmageed Ahmed, Alaa Nagy, Ahmed Kamal, Daila Farghl
2023-01-10
Computer Vision and Pattern Recognition · Computer Science
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches
Pingli Ma, Chen Li, Md Mamunur Rahaman, Yudong Yao +4
2022-04-12
Computer Vision and Pattern Recognition · Computer Science
An improved computer vision method for detecting white blood cells
Erik Cuevas, Margarita Diaz, Miguel Manzanares, Daniel Zaldivar +1
2014-06-30
Image and Video Processing · Electrical Eng. & Systems
Detection of brain tumors using machine learning algorithms
Horacio Corral, Javier Melchor, Balam Sotelo, Jorge Vera
2022-01-14
Computer Vision and Pattern Recognition · Computer Science
Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
Abdul Basit, Ashir Rashid, Muhammad Abdullah Hanif, Muhammad Shafique
2026-05-12
Computer Vision and Pattern Recognition · Computer Science
Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain WholeTumor Segmentation
Apurva Pandya, Catherine Samuel, Nisargkumar Patel, Vaibhavkumar Patel +1
2020-09-15
Image and Video Processing · Electrical Eng. & Systems
MRI Images, Brain Lesions and Deep Learning
Darwin Castillo, Vasudevan Lakshminarayanan, Maria J. Rodriguez-Alvarez
2021-01-15
Image and Video Processing · Electrical Eng. & Systems
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs
Atif Shah, Maged S. Al-Shaibani, Moataz Ahmad, Reem Bunyan
2023-02-21