Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
The fight against cancer, a relentless global health crisis, emphasizes the urgency for
efficient and automated early detection methods. To address this critical need, this review …
efficient and automated early detection methods. To address this critical need, this review …
SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement
Sleep is an essential physiological process that is crucial for human health and well-being.
However, with the rise of technology and increasing work demands, people are …
However, with the rise of technology and increasing work demands, people are …
CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection
Background: Swift and accurate blood smear analyses are crucial for diagnosing leukemia
and other hematological malignancies. However, manual leukocyte count and …
and other hematological malignancies. However, manual leukocyte count and …
Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to
blood cancer, many people die every year. Hence, the early detection of these blast cells is …
blood cancer, many people die every year. Hence, the early detection of these blast cells is …
Acute Lymphoblastic Leukemia Detection Employing Deep Learning and Transfer Learning Techniques
The death due to cancer increases daily due to late or even no diagnosis. It is necessary for
early detection and treatment of such fatal cancers and avoiding carcinogenic agents is an …
early detection and treatment of such fatal cancers and avoiding carcinogenic agents is an …
Dementia diagnosis in young adults: a machine learning and optimization approach
FM Talaat, MR Ibraheem - Neural Computing and Applications, 2024 - Springer
Individuals who are younger and have dementia often start experiencing its symptoms
before they turn 65, with cases even documented in people as young as their thirties …
before they turn 65, with cases even documented in people as young as their thirties …
ODRNN: optimized deep recurrent neural networks for automatic detection of leukaemia
KD Shree, S Logeswari - Signal, Image and Video Processing, 2024 - Springer
Leukaemia image classification involves using machine learning, and often deep learning,
techniques to automatically analyse medical images and categorize them into different …
techniques to automatically analyse medical images and categorize them into different …
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …
cancer. Cancer is considered one of the deadliest diseases across all age categories …
High‐Accuracy and Lightweight Image Classification Network for Optimizing Lymphoblastic Leukemia Diagnosisy
L Mei, C Lian, S Han, S Jin, J He… - Microscopy …, 2024 - Wiley Online Library
Leukemia is a hematological malignancy that significantly impacts the human immune
system. Early detection helps to effectively manage and treat cancer. Although deep …
system. Early detection helps to effectively manage and treat cancer. Although deep …