Browsing by Subject "Cancer detection"
Now showing items 1-5 of 5
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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 ... -
Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
(BRAC Univeristy, 8/21/2017)We proposed cancer cell detection using image processing techniques based on cancer cell counting, cell area measurement and clump detection. The proposed system autonomously detects traits of cancer in microscopy images ... -
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)Cancer is known to be one of the most lethal diseases among all the diseases in the world. It is clinically known as ’Malignant Neoplasm which is a vast group of diseases that encompasses unmonitored cell expansion. It ... -
An efficient deep learning approach to detect skin Cancer
(Brac University, 2021-09)Each year, millions of people around the world are affected by cancer. Research shows that the early and accurate diagnosis of cancerous growths can have a major effect on improving mortality rates from cancer. As human ... -
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)This work tries to detect skin cancer and classify its type using datasets containing labeled images and classes, using pre-trained CNN models and merged pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
