An efficient multi-level convolutional neural network approach for white blood cells classification
The evaluation of white blood cells is essential to assess the quality of the human immune
system; however, the assessment of the blood smear depends on the pathologist's …
system; however, the assessment of the blood smear depends on the pathologist's …
Data-and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended
scanning times often compromise patient comfort and image quality, especially in …
scanning times often compromise patient comfort and image quality, especially in …
Objective quality assessment of medical images and videos: Review and challenges
Quality assessment is a key element for the evaluation of hardware and software involved in
image and video acquisition, processing, and visualization. In the medical field, user-based …
image and video acquisition, processing, and visualization. In the medical field, user-based …
Classification of breast cancer in mammograms with deep learning adding a fifth class
S Castro-Tapia, CL Castaneda-Miranda… - Applied Sciences, 2021 - mdpi.com
Breast cancer is one of the diseases of most profound concern, with the most prevalence
worldwide, where early detections and diagnoses play the leading role against this disease …
worldwide, where early detections and diagnoses play the leading role against this disease …
ML‐DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster–Shafer Theory
M Eftekharian, A Nodehi… - Computational …, 2023 - Wiley Online Library
Medical intelligence detection systems have changed with the help of artificial intelligence
and have also faced challenges. Breast cancer diagnosis and classification are part of this …
and have also faced challenges. Breast cancer diagnosis and classification are part of this …
Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study
Background Although systems such as Prostate Imaging Quality (PI-QUAL) have been
proposed for quality assessment, visual evaluations by human readers remain somewhat …
proposed for quality assessment, visual evaluations by human readers remain somewhat …
Identification of intracranial hemorrhage using ResNeXt model
N Bhat, VG Biradar, AKS Mallya… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Intracranial hemorrhage is a disease with a greater mortality rate. The only way to provide a
definitive diagnosis of intra cranial hemorrhage is through neuroimaging. Deep learning …
definitive diagnosis of intra cranial hemorrhage is through neuroimaging. Deep learning …
Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended
scanning times often compromise patient comfort and image quality, especially in …
scanning times often compromise patient comfort and image quality, especially in …
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning
S Tummala, VSG Thadikemalla, BAK Kreilkamp… - Computers in biology …, 2021 - Elsevier
Background Magnetic resonance imaging (MRI)-based morphometry and relaxometry are
proven methods for the structural assessment of the human brain in several neurological …
proven methods for the structural assessment of the human brain in several neurological …
Medical image fusion quality assessment based on conditional generative adversarial network
L Tang, Y Hui, H Yang, Y Zhao, C Tian - Frontiers in Neuroscience, 2022 - frontiersin.org
Multimodal medical image fusion (MMIF) has been proven to effectively improve the
efficiency of disease diagnosis and treatment. However, few works have explored dedicated …
efficiency of disease diagnosis and treatment. However, few works have explored dedicated …