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2,304 results on '"Khan, Haroon"'

2. AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation

Author

Naveed, Asim, Naqvi, Syed S., Khan, Tariq M., Iqbal, Shahzaib, Wani, M. Yaqoob, and Khan, Haroon Ahmed

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challenging due to inherent variations in appearance, contrast, texture, and blurry lesion boundaries. This research presents a robust approach utilizing a dilated convolutional residual network, which incorporates an attention-based spatial feature enhancement block (ASFEB) and employs a guided decoder strategy. In each dilated convolutional residual block, dilated convolution is employed to broaden the receptive field with varying dilation rates. To improve the spatial feature information of the encoder, we employed an attention-based spatial feature enhancement block in the skip connections. The ASFEB in our proposed method combines feature maps obtained from average and maximum-pooling operations. These combined features are then weighted using the active outcome of global average pooling and convolution operations. Additionally, we have incorporated a guided decoder strategy, where each decoder block is optimized using an individual loss function to enhance the feature learning process in the proposed AD-Net. The proposed AD-Net presents a significant benefit by necessitating fewer model parameters compared to its peer methods. This reduction in parameters directly impacts the number of labeled data required for training, facilitating faster convergence during the training process. The effectiveness of the proposed AD-Net was evaluated using four public benchmark datasets. We conducted a Wilcoxon signed-rank test to verify the efficiency of the AD-Net. The outcomes suggest that our method surpasses other cutting-edge methods in performance, even without the implementation of data augmentation strategies.

Published
2024

8. EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc

Author

Mehmood, Mehwish, Naveed, Khuram, Aurangzeb, Khursheed, Khan, Haroon Ahmed, Alhussein, Musaed, and Naqvi, Syed Saud

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Glaucoma is an eye disease that causes damage to the optic nerve, which can lead to visual loss and permanent blindness. Early glaucoma detection is therefore critical in order to avoid permanent blindness. The estimation of the cup-to-disc ratio (CDR) during an examination of the optical disc (OD) is used for the diagnosis of glaucoma. In this paper, we present the EDDense-Net segmentation network for the joint segmentation of OC and OD. The encoder and decoder in this network are made up of dense blocks with a grouped convolutional layer in each block, allowing the network to acquire and convey spatial information from the image while simultaneously reducing the network's complexity. To reduce spatial information loss, the optimal number of filters in all convolution layers were utilised. In semantic segmentation, dice pixel classification is employed in the decoder to alleviate the problem of class imbalance. The proposed network was evaluated on two publicly available datasets where it outperformed existing state-of-the-art methods in terms of accuracy and efficiency. For the diagnosis and analysis of glaucoma, this method can be used as a second opinion system to assist medical ophthalmologists.

Published
2023

13. Ranking-Based Methodology for Prioritization of Critical Pedestrian Infrastructure in and Around the Market Area: A Case Study of Aminabad Market, Lucknow

Author

Khan, Haroon Rasheed, Ahmed, Mokaddes Ali, Dutta, Manish, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Singh, Dharamveer, editor, Maji, Avijit, editor, Karmarkar, Omkar, editor, Gupta, Monik, editor, Velaga, Nagendra Rao, editor, and Debbarma, Solomon, editor

Published
2024
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25. The role of IL-2 cytokine family in asthma

Author

Goleij, Pouya, Rahimi, Mohammad, Pourshahroudi, Motahareh, Tabari, Mohammad Amin Khazeei, Muhammad, Syed, Suteja, Richard Christian, Daglia, Maria, Majma Sanaye, Pantea, Hadipour, Mahboube, Khan, Haroon, and Sadeghi, Parniyan

Published
2024
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44. Anticancer effects of phytol against Sarcoma (S-180) and Human Leukemic (HL-60) cancer cells

Author

de Alencar, Marcus Vinícius Oliveira Barros, Islam, Muhammad Torequl, da Mata, Ana Maria Oliveira Ferreira, dos Reis, Antonielly Campinho, de Lima, Rosália Maria Torres, de Oliveira Ferreira, José Roberto, de Castro e Sousa, João Marcelo, Ferreira, Paulo Michel Pinheiro, de Carvalho Melo-Cavalcante, Ana Amélia, Rauf, Abdur, Hemeg, Hassan A., Alsharif, Khalaf F., and Khan, Haroon

Published
2023
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50. Nanomedicines in Treatment of Cardiovascular Diseases

Author

Tanveer, Ayesha, Akhtar, Bushra, Sharif, Ali, Anwar, Muhammad Irfan, Khan, Haroon, Buyuker, Sultan Mehtap, Javaid, Mian Muhammad Zeeshan, Akhtar, Kanwal, Zubair, Hafiz Muhammad, Bosserhoff, Anja K., Series Editor, Berenjian, Aydin, Series Editor, Carbonell, Pablo, Series Editor, Levite, Mia, Series Editor, Roig, Joan, Series Editor, Turksen, Kursad, Series Editor, Akhtar, Bushra, editor, Muhammad, Faqir, editor, and Sharif, Ali, editor

Published
2023
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