[HTML][HTML] Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2

P Talari, BN, G Kaur, H Alshahrani, MS Al Reshan… - Plos one, 2024 - journals.plos.org
Diabetes prediction is an ongoing study topic in which medical specialists are attempting to
forecast the condition with greater precision. Diabetes typically stays lethargic, and on the off …

[HTML][HTML] Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images

V Kumar, C Prabha, P Sharma, N Mittal, SS Askar… - BMC Medical …, 2024 - Springer
Significant advancements in machine learning algorithms have the potential to aid in the
early detection and prevention of cancer, a devastating disease. However, traditional …

Pituitary gland size estimation and lesion detection using segmentation-based color thresholding technique

G Singh, V Gautam - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The pituitary gland pea-sized gland situated in the human brain below hypothalamus. This is
responsible for generating useful hormones in the human body. These hormones are used …

Breast Cancer Classification with ANN and DBN

V Gupta, S Wadhawan, V Kumar… - … on Advancement in …, 2024 - ieeexplore.ieee.org
As per the reports of the National Cancer Institution, breast cancer is impacting 13% of
women's lives. Breast cancer is ranked as the second major cause of death and requires an …

Detailed Investigation of the use of Text Mining and Natural Language Processing (NLPs) for Cancer Detection

G Kaur, J Kaur - 2023 Second International Conference on …, 2023 - ieeexplore.ieee.org
Clinical decision-making can be improved by analyzing patient characteristics and results.
However, most medical data is only presented in narratively written reports, making efficient …