Browsing Department of Computer Science and Engineering (CSE) by Subject "Cancer"
Now showing items 1-6 of 6
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Cancer classification using deep learning from medical image data
(Brac University, 2022-01)Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ... -
DenseNet based skin lesion classification and melanoma detection
(Brac University, 2021-06)In the language of medical science, the most harmful variant of skin cancer that may develop in human cells is distinguished as melanoma. The principal reasons behind developing melanoma in human skin are still unknown. ... -
Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
(BRAC University, 2018-12)Cancer starts when cells of body begin to grow rapidly. Cells in nearly any part of the body can become cancer and can spread to other areas of the body. The origin of Chronic Lymphocytic Leukemia (CLL) in the bone marrow ... -
Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
(Brac University, 2023-09)Cancer, an enduring medical enigma with historical recognition dating back to ancient civilizations, remains without a definitive cure. This research undertakes a comprehensive investigation encompassing nine prevalent ... -
Qualitative classification of the breast cancer genome and clustering of the cancer gene network
(BRAC University, 2019-04)The purpose of cancer genome project is to classify the genetic variations that are related to clinical phenotypes. However, some studies showed that some specific cellular pathways are targeted by the cancer mutations ... -
Skin lesion classification using different CNN models
(Brac University, 2023-05)The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...