Search
Now showing items 11-20 of 60
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 ...
Assisting the visually impaired people using image processing
(BRAC University, 2018-07)
Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ...
Road sign detection and translation in Bangla using image processing and machine learning
(Brac University, 2019-08)
For the drivers while driving, road signs play very important role but it is really
challenging for the drivers' if they are not at home with the meanings of the signs.
Driving is a process which is complex, continuous, ...
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)
Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
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 ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Bangla sign language interpretation using image processing
(BRAC University, 4/18/2017)
Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using ...