Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Objective: Mammogram-based automatic breast cancer detection has a primary role in
accurate cancer diagnosis and treatment planning to save valuable lives. Mammography is …
accurate cancer diagnosis and treatment planning to save valuable lives. Mammography is …
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
Breast cancer is a significant cause of cancer fatality among women all over the world.
Hence the detection of this disease at the initial stage works as a boon to the patient so that …
Hence the detection of this disease at the initial stage works as a boon to the patient so that …
Peripheral blood smear images classification for acute lymphoblastic leukemia diagnosis with an improved convolutional neural network
E Özbay, FA Özbay, FS Gharehchopogh - Journal of Bionic Engineering, 2023 - Springer
Abstract Acute Lymphoblastic Leukemia (ALL) is one of the most common types of cancer
globally, and the invasive tests used to diagnose it are costly and time-consuming …
globally, and the invasive tests used to diagnose it are costly and time-consuming …
[HTML][HTML] A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images
H Bhatt, M Shah - Healthcare Analytics, 2023 - Elsevier
Pneumonia is a respiratory infection caused by microbes and other environmental factors. It
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
An efficient detection and classification of acute leukemia using transfer learning and orthogonal softmax layer-based model
For the early diagnosis of hematological disorders like blood cancer, microscopic analysis of
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
WBC YOLO-ViT: 2 Way-2 stage white blood cell detection and classification with a combination of YOLOv5 and vision transformer
SA Tarimo, MA Jang, EE Ngasa, HB Shin… - Computers in Biology …, 2024 - Elsevier
Accurate detection and classification of white blood cells, otherwise known as leukocytes,
play a critical role in diagnosing and monitoring various illnesses. However, conventional …
play a critical role in diagnosing and monitoring various illnesses. However, conventional …
[HTML][HTML] Multiclass blood cancer classification using deep CNN with optimized features
Breast cancer, lung cancer, skin cancer, and blood malignancies such as leukemia and
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification
Background The examination, counting, and classification of white blood cells (WBCs), also
known as leukocytes, are essential processes in the diagnosis of many disorders, including …
known as leukocytes, are essential processes in the diagnosis of many disorders, including …