Classification of red blood cells in sickle cell anemia using deep convolutional neural network
Sickle cell anemia is an abnormal red blood cell which leads to blood vessel obstruction
joined by painful episodes and even death. It is also called abnormal hemoglobin …
joined by painful episodes and even death. It is also called abnormal hemoglobin …
Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network
Mitochondria are organelles that play an important role in the cell's life cycle as the energy
generating units. State-of-the-art imaging modalities, such as electron microscopy, allow …
generating units. State-of-the-art imaging modalities, such as electron microscopy, allow …
Deep learning-based facial expression recognition for monitoring neurological disorders
Facial expressions play an important role in communication. Impaired facial expression is a
common sign of numerous medical conditions, particularly neurological disorders. Accurate …
common sign of numerous medical conditions, particularly neurological disorders. Accurate …
Boosting convolutional neural networks performance based on FPGA accelerator
Abstract Convolutional Neural Network (CNN) has been extensively used for image
recognition due to its great accuracy. This accuracy is achieved through emulating the optic …
recognition due to its great accuracy. This accuracy is achieved through emulating the optic …
Improving nuclei classification performance in h&e stained tissue images using fully convolutional regression network and convolutional neural network
Detection and classification of nuclei in histopathology images is an important step in the
research of understanding tumor microenvironment and evaluating cancer progression and …
research of understanding tumor microenvironment and evaluating cancer progression and …
Robust and efficient approach to diagnose sickle cell anemia in blood
Abstract Red Blood Corpuscles (RBCs) form the main cellular component of human blood.
RBCs in common physiological status has a circular form in the front view and bi-concave …
RBCs in common physiological status has a circular form in the front view and bi-concave …
Ensemble of deep cascades for detection of laryngeal adductor reflex events in endoscopy videos
Vocal fold motion plays a critical role in life-sustaining functions of breathing and
swallowing. Multiple muscles, nerves, and other anatomical structures are involved in …
swallowing. Multiple muscles, nerves, and other anatomical structures are involved in …
Nucleus classification in colon cancer H&E images using deep learning
Classification of nuclei, cells, and tissues is one of the most challenging tasks in biomedical
image analysis. A large variety of computational approaches in the fields of image …
image analysis. A large variety of computational approaches in the fields of image …
Eye gaze pattern analysis of whole slide image viewing behavior in pathedex platform
Visual interpretation of histopathological slides is a complex process that may lead to
diagnostic pitfalls. We have started a study to quantify and analyze pathologist's eye gaze …
diagnostic pitfalls. We have started a study to quantify and analyze pathologist's eye gaze …
[PDF][PDF] A robust deep learning approachto detect nuclei in histopathological images
L Alzubaidi, R Resan, H Abdul Hussain… - International Journal of …, 2017 - academia.edu
Automated cell detection in histopathology images is challenging due to large variations in
size, density, and batch variations. Nuclei detection provides useful information for …
size, density, and batch variations. Nuclei detection provides useful information for …