Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Rahman, Md Mostafijur"'
University education play a critical role in shaping intellectual and professional development of the individuals and contribute significantly to the advancement of knowledge and society. Generally, university authority has a direct control of studen
Externí odkaz:
http://arxiv.org/abs/2406.05151
The Segment Anything Model (SAM), originally designed for general-purpose segmentation tasks, has been used recently for polyp segmentation. Nonetheless, fine-tuning SAM with data from new imaging centers or clinics poses significant challenges. This
Externí odkaz:
http://arxiv.org/abs/2405.16740
An efficient and effective decoding mechanism is crucial in medical image segmentation, especially in scenarios with limited computational resources. However, these decoding mechanisms usually come with high computational costs. To address this conce
Externí odkaz:
http://arxiv.org/abs/2405.06880
Vision graph neural networks (ViG) offer a new avenue for exploration in computer vision. A major bottleneck in ViGs is the inefficient k-nearest neighbor (KNN) operation used for graph construction. To solve this issue, we propose a new method for d
Externí odkaz:
http://arxiv.org/abs/2405.06849
Autor:
Jha, Debesh, Tomar, Nikhil Kumar, Biswas, Koushik, Durak, Gorkem, Antalek, Matthew, Zhang, Zheyuan, Wang, Bin, Rahman, Md Mostafijur, Pan, Hongyi, Medetalibeyoglu, Alpay, Velichko, Yury, Ladner, Daniela, Borhani, Amir, Bagci, Ulas
Accurate segmentation of organs from abdominal CT scans is essential for clinical applications such as diagnosis, treatment planning, and patient monitoring. To handle challenges of heterogeneity in organ shapes, sizes, and complex anatomical relatio
Externí odkaz:
http://arxiv.org/abs/2405.06166
BanglaNet: Bangla Handwritten Character Recognition using Ensembling of Convolutional Neural Network
Autor:
Saha, Chandrika, Rahman, Md Mostafijur
Handwritten character recognition is a crucial task because of its abundant applications. The recognition task of Bangla handwritten characters is especially challenging because of the cursive nature of Bangla characters and the presence of compound
Externí odkaz:
http://arxiv.org/abs/2401.08035
In recent years, medical image segmentation has become an important application in the field of computer-aided diagnosis. In this paper, we are the first to propose a new graph convolution-based decoder namely, Cascaded Graph Convolutional Attention
Externí odkaz:
http://arxiv.org/abs/2310.16175
Transformers have shown great success in medical image segmentation. However, transformers may exhibit a limited generalization ability due to the underlying single-scale self-attention (SA) mechanism. In this paper, we address this issue by introduc
Externí odkaz:
http://arxiv.org/abs/2303.16892
Autor:
Rahman, Md Mostafijur, Franklin, Meredith, Jabin, Nusrat, Sharna, Tasnia Ishaque, Nower, Noshin, Alderete, Tanya L., Mhawish, Alaa, Ahmed, Anisuddin, Quaiyum, M.A., Salam, Muhammad T., Islam, Talat
Publikováno v:
In Environmental Pollution 1 December 2023 338
Autor:
Rahman, Md Mostafijur, Nawfal, Tamima, Khabir, Fabliha Afiea, Hosen, Md Bayejid, Washif, Mubasshir, Kabir, Yearul, Howlader, M Zakir Hossain
Publikováno v:
In Biochemistry and Biophysics Reports September 2023 35