[HTML][HTML] Deep learning for chest X-ray analysis: A survey
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
[HTML][HTML] Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images
Glaucoma is one of the most common chronic diseases that may lead to irreversible vision
loss. The number of patients with permanent vision loss due to glaucoma is expected to …
loss. The number of patients with permanent vision loss due to glaucoma is expected to …
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
Artificial intelligence-based recognition of different types of shoulder implants in X-ray scans based on dense residual ensemble-network for personalized medicine
Re-operations and revisions are often performed in patients who have undergone total
shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RTSA). This …
shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RTSA). This …
Leveraging image complexity in macro-level neural network design for medical image segmentation
Recent progress in encoder–decoder neural network architecture design has led to
significant performance improvements in a wide range of medical image segmentation …
significant performance improvements in a wide range of medical image segmentation …
Detecting blastocyst components by artificial intelligence for human embryological analysis to improve success rate of in vitro fertilization
Morphological attributes of human blastocyst components and their characteristics are
highly correlated with the success rate of in vitro fertilization (IVF). Blastocyst component …
highly correlated with the success rate of in vitro fertilization (IVF). Blastocyst component …
Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning
We examined the feasibility of explainable computer-aided detection of cardiomegaly in
routine clinical practice using segmentation-based methods. Overall, 793 retrospectively …
routine clinical practice using segmentation-based methods. Overall, 793 retrospectively …
Simple and robust depth-wise cascaded network for polyp segmentation
The segmentation of the polyp region in colonoscopy images is considered difficult due to
size, texture, and color variation. To segment polyps successfully, models based on …
size, texture, and color variation. To segment polyps successfully, models based on …
Diabetic and hypertensive retinopathy screening in fundus images using artificially intelligent shallow architectures
Retinal blood vessels are considered valuable biomarkers for the detection of diabetic
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …
Deep features aggregation-based joint segmentation of cytoplasm and nuclei in white blood cells
White blood cells (WBCs), also known as leukocytes, are one of the valuable parts of the
blood and immune system. Typically, pathologists use microscope for the manual inspection …
blood and immune system. Typically, pathologists use microscope for the manual inspection …