[HTML][HTML] DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
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 …
[HTML][HTML] Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
[HTML][HTML] A2M-LEUK: attention-augmented algorithm for blood cancer detection in children
Leukemia is a malignancy that affects the blood and bone marrow. Its detection and
classification are conventionally done through labor-intensive and specialized methods. The …
classification are conventionally done through labor-intensive and specialized methods. The …
[HTML][HTML] Systematic Review on Diagnostic Reference Levels for Computed Tomography Examinations in Radiation Therapy Planning
S Rao, K Sharan, S Sukumar, SG Chandraguthi… - Diagnostics, 2023 - mdpi.com
Background: In August 2017, the European Commission awarded the “European Study on
Clinical Diagnostic Reference Levels (DRL) for X-ray Medical Imaging” project to the …
Clinical Diagnostic Reference Levels (DRL) for X-ray Medical Imaging” project to the …
[HTML][HTML] Medical image classifications for 6G IoT-enabled smart health systems
As day-to-day-generated data become massive in the 6G-enabled Internet of medical things
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
[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 …
[HTML][HTML] Feature-selection-based attentional-deconvolution detector for German traffic sign detection benchmark
In this study, we propose a novel traffic sign detection algorithm based on the deeplearning
approach. The proposed algorithm, which we termed the feature-selection-based …
approach. The proposed algorithm, which we termed the feature-selection-based …
[HTML][HTML] Prediction of changes in blood parameters induced by low-frequency ultrasound
V Ostasevicius, A Paulauskaite-Taraseviciene… - Applied System …, 2023 - mdpi.com
In this study, we reveal the influence of low-frequency ultrasound on erythrocyte and platelet
aggregation. Furthermore, we show that the consequences of sonication of blood samples …
aggregation. Furthermore, we show that the consequences of sonication of blood samples …
Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features
O Attallah - Image and Vision Computing, 2024 - Elsevier
Acute lymphoblastic leukemia (ALL) is considered the most fatal form of leukemia (also
known as blood cancer). It propagates quickly among adults and children and could lead to …
known as blood cancer). It propagates quickly among adults and children and could lead to …