Browsing by Author "Alam, Md. Ashraful"
Now showing items 21-40 of 67
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Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
Tuhin, Md. Akram Hossan; Pramanick, Tarunya; Emon, Humayoun Kabir; Rahman, Wasiur (Brac University, 2019-04)Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately ... -
Detection of coronary artery blockage at an early stage using effective deep learning technique
Promit, Tahmid Ashrafee; Khan, Md. Akibur Rahman; Arnob, Nahian; Rashid, Rabbi Nur; Reza, Afif (Brac University, 2022-09-28)A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ... -
Detection of multiple sclerosis using deep learning
Jannat, Sabila Al; Hoque, Tanjina; Supti, Nafisa Alam (Brac University, 2021-01)Accurate detection of white matter lesions in 3D Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis is essential for diagnosis and treatment evaluation of MS. It is strenuous for the optimal treatment of ... -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
Mim, Ankhi Akter; Ashakin, Kazi Habibul; Hossain, Sadat; Orchi, Nabiha Tasnim; Him, Al Shahriar (Brac University, 2024-01)Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ... -
Early detection of cervical cancer using deep neural networks
Akhund, Atoshi; Ahmad, Saad; Taki, Sarwar Siddiqui (Brac University, 2022-05)Cervical cancer is a disease that is mostly preventable, but it is one of the major causes of cancer fatality in women worldwide. Several studies say that annually 2,60,000 women die because of cervical cancer. Chronic ... -
Early detection of parkinson’s disease using image processing and artificial neural network
Rumman, Mosarrat; Tasneem, Abu Nayeem; Farzana, Sadia (BRAC University, 2018-04)Early detection of Parkinson‟s Disease (PD) is very crucial for effective management and treatment of the disease. Dopaminergic images such as Single Photon Emission Tomography (SPECT) using 123I-Ioflupane can substantially ... -
Early prediction of Alzheimer's disease using convolutional neural network
Abed, Mahjabeen Tamanna; Nabil, Shanewas Ahmed; Fatema, Umme (Brac University, 2019-08)Neuroimaging can be a prospective instrument for the diagnosis of Mild Cognitive Impairment (MCI) along with its more severe stage, Alzheimer's disease (AD). High- dimensional classi cation methods have been commonly ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
Chowdhury, Prabal Kumar; Islam, Md. Aminul; Haque, Md Aminul (Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
An efficient approach to detect melanoma skin cancer using a custom CNN model
Rahman, K.M Saidur; Amin, Tanjim Bin; Rahman, Mahdi Sakib; Sakib, G M Shadman Hossain (Brac University, 2022-09-28)Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ... -
An efficient deep learning approach for 3D face detection using multiple angular 2D images
Rafsan, Nayeem; Nayeem, Hasibul Hoque; Dad, Hamed Efaz Md. Elahi; Yen, Afzal Hossain (Brac University, 2022-09-25)3D face reconstruction is a useful computer vision technique for facial recognition. Accuracy decreases drastically while extracting features from 2D and moving images. To overcome this problem, we are proposing ... -
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
Sani, Mehedi Hasan; Rahman, Mohibur; Achib, Md. Abdullah Al; Hossain, Rakib (Brac University, 2022-01)Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ... -
An Efficient deep learning approach to detect Brain Tumor using MRI images
Islam, Annur Tasnim; Apu, Sakib Mashra; Sarker, Sudipta; Hasan, Inzamam M.; Shuvo, Syeed Alam (Brac University, 2021-10)A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ... -
An efficient deep learning approach to detect COVID-19 infected lungs using image data
Kabir, Asif Rezwan; Roy, Shutirtha; Zerin, Nusrat; Afrin, Sheikh Sharia; Choudhury, Anika Jahan (Brac University, 2022-01)The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ... -
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
Khan, Farhan Sakib; Ferdaus, Nowshin; Hossain, Tamim; Islam, Quazi Sabrina; Islam, Md. Iftakharul (Brac University, 2022-05)Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal problems that can be used in combination with traditional diagnostic testing methods. We developed and implemented a deep Convolutional ... -
An efficient deep learning approach to detect skin Cancer
Islam, Ashfaqul; Khan, Daiyan; Chowdhury, Rakeen Ashraf (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 ... -
An efficient deep learning approach to predict heart failure from image data using ejection fraction
Tanvir, Nazmul Karim; Yeasin, MD. Nadim; MD. Mahmuduzzaman, Sarker; Ara, Jannat (Brac University, 2022-09-28)Heart is the core of human body. A normal heart beats almost 1,15,200 times in a day and 80 beats per second to make us live alive. But we often take it granted and do uncertain thinks which stops it to function perfectly. ... -
Efficient image processing and machine learning approach for predicting retinal diseases
Hasib, Mehadi Hasan; Sultana, Tasnim; Chowdhury, Chandrika (Brac University, 2020-04)As the computational technology and hadrware system improved over time, the use of neural network in image processing has become more and more prominent. Soon deep learning also caught the attention of the medical sector ... -
Enterprise software development internship
Rafi, Omar Mahdi (Brac University, 2023-05)"This internship report is based on my interning period at RedDot Digital Limited from September 2022 until the end of January 2023. RedDot Digital Limited is a 100% subsidiary of Robi Axiata Ltd which is a leading giant ... -
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
Radiah, Faiza; Rahman, Kabasum; Asadullah, Lasania; Sohan, Md. Sohanur Rahman; Ahmed, Jaki (Brac University, 2023-09)Skin Cancer is a cancer form that has become very prevalent in recent times and, if left untreated, has the potential to cause premature death. That is why early diagnosis and treatment are important to cure this disease. ... -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
Sagor, Mostofa Kamal; Jahan, Ishrat; Chowdhury, Susmita; Ansary, Rubayet (Brac University, 2021-01)Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ...