Detection of chronic lymphocytic leukemia using Deep Neural Eagle Perch Fuzzy Segmentation–A novel comparative approach
With a high mortality rate worldwide, Chronic Lymphocytic Leukemia (CLL) poses a serious
health risk. Radiologists view the ability to detect blood tumor cells as both important and …
health risk. Radiologists view the ability to detect blood tumor cells as both important and …
Brain Tumor Detection System using Convolutional Neural Network
S Koshti, V Degaonkar, I Modi… - 2022 IEEE Pune …, 2022 - ieeexplore.ieee.org
Brain tumors, in medical terms, are the intentional or unintentional growth of mass cells
which hamper the conventional functioning of the shape of a brain. For correct diagnosis …
which hamper the conventional functioning of the shape of a brain. For correct diagnosis …
Sparse-FCM and Deep Convolutional Neural Network for the segmentation and classification of acute lymphoblastic leukaemia
S Praveena, SP Singh - Biomedical Engineering/Biomedizinische …, 2020 - degruyter.com
Leukaemia detection and diagnosis in advance is the trending topic in the medical
applications for reducing the death toll of patients with acute lymphoblastic leukaemia (ALL) …
applications for reducing the death toll of patients with acute lymphoblastic leukaemia (ALL) …
Computational intelligence method for detection of white blood cells using hybrid of convolutional deep learning and SIFT
M Manthouri, Z Aghajari, S Safary - … and Mathematical Methods …, 2022 - Wiley Online Library
Infection diseases are among the top global issues with negative impacts on health,
economy, and society as a whole. One of the most effective ways to detect these diseases is …
economy, and society as a whole. One of the most effective ways to detect these diseases is …
Classification and detection of cancer in histopathologic scans of lymph node sections using convolutional neural network
M Ahmad, I Ahmed, MA Ouameur, G Jeon - Neural Processing Letters, 2023 - Springer
Cancer has been considered one of the major threats to the lives and health of people. The
substantial clinical practices show that earlier diagnosis and detection of cancer can provide …
substantial clinical practices show that earlier diagnosis and detection of cancer can provide …
Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design
TG Devi, N Patil, S Rai, CP Sarah - Multimedia Tools and Applications, 2023 - Springer
Cancer is a disease linked to the untamed and rapid division of cells in the body. Cancer
detection through conventional methods like complete blood count is a tedious and time …
detection through conventional methods like complete blood count is a tedious and time …
Automatic detection of acute lymphoblastic leukemia using UNET based segmentation and statistical analysis of fused deep features
S Alagu, AP N, BB K - Applied Artificial Intelligence, 2021 - Taylor & Francis
Acute lymphoblastic leukemia (ALL) in human white blood cells is hazardous and requires
immediate clinical interventions. The main objective of the proposed work is to suggest the …
immediate clinical interventions. The main objective of the proposed work is to suggest the …
A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models
S Saleem, J Amin, M Sharif, MA Anjum, M Iqbal… - Complex & Intelligent …, 2021 - Springer
White blood cells (WBCs) are a portion of the immune system which fights against germs.
Leukemia is the most common blood cancer which may lead to death. It occurs due to the …
Leukemia is the most common blood cancer which may lead to death. It occurs due to the …
A Systematic Review of Acute Leukemia Diagnosis by Using Deep Learning
I Zahra, SK Hussain, S Rasool, M Luqman… - Journal of Computing & …, 2023 - jcbi.org
Acute leukaemia, a malignancy that starts in the bone marrow, manifests as an unchecked,
fast spread of white blood cells. Acute lymphoblastic leukaemia is more common in young …
fast spread of white blood cells. Acute lymphoblastic leukaemia is more common in young …
Segmentation of Nucleus in Histopathological Images Using Deep Learning Architectures
O Ayaz, H Usta, G Bilgin - 2021 Medical Technologies …, 2021 - ieeexplore.ieee.org
The aim of this study is to develop a image segmentation system for Histopathological
images by using Deep Learning Methods. In today's world cancer is a world wide problem …
images by using Deep Learning Methods. In today's world cancer is a world wide problem …