Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Sarker, Md. Mostafa Kamal"'
Retrofitting and thermographic survey (TS) companies in Scotland collaborate with social housing providers to tackle fuel poverty. They employ ground-level infrared (IR) camera-based-TSs (GIRTSs) for collecting thermal images to identi-fy the heat lo
Externí odkaz:
http://arxiv.org/abs/2308.03631
Autor:
Zhu, Chuang, Liu, Shengjie, Yu, Zekuan, Xu, Feng, Aggarwal, Arpit, Corredor, Germán, Madabhushi, Anant, Qu, Qixun, Fan, Hongwei, Li, Fangda, Li, Yueheng, Guan, Xianchao, Zhang, Yongbing, Singh, Vivek Kumar, Akram, Farhan, Sarker, Md. Mostafa Kamal, Shi, Zhongyue, Jin, Mulan
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective of saving m
Externí odkaz:
http://arxiv.org/abs/2305.03546
Autor:
Banu, Syeda Furruka, Sarker, Md. Mostafa Kamal, Abdel-Nasser, Mohamed, Puig, Domenec, Raswan, Hatem A.
Lung cancer is deadly cancer that causes millions of deaths every year around the world. Accurate lung nodule detection and segmentation in computed tomography (CT) images is the most important part of diagnosing lung cancer in the early stage. Most
Externí odkaz:
http://arxiv.org/abs/2110.05144
Autor:
Akram, Farhan, Singh, Vivek Kumar, Rashwan, Hatem A., Abdel-Nasser, Mohamed, Sarker, Md. Mostafa Kamal, Pandey, Nidhi, Puig, Domenec
In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In the generator network of the adversarial framework, spatial pyramid poo
Externí odkaz:
http://arxiv.org/abs/1907.02742
Autor:
Singh, Vivek Kumar, Rashwan, Hatem A., Abdel-Nasser, Mohamed, Sarker, Md. Mostafa Kamal, Akram, Farhan, Pandey, Nidhi, Romani, Santiago, Puig, Domenec
This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditional generative adversarial network (cGAN) segmentation model to learn
Externí odkaz:
http://arxiv.org/abs/1907.00887
Autor:
Sarker, Md. Mostafa Kamal, Rashwan, Hatem A., Akram, Farhan, Singh, Vivek Kumar, Banu, Syeda Furruka, Chowdhury, Forhad U H, Choudhury, Kabir Ahmed, Chambon, Sylvie, Radeva, Petia, Puig, Domenec, Abdel-Nasser, Mohamed
The determination of precise skin lesion boundaries in dermoscopic images using automated methods faces many challenges, most importantly, the presence of hair, inconspicuous lesion edges and low contrast in dermoscopic images, and variability in the
Externí odkaz:
http://arxiv.org/abs/1907.00856
Autor:
Talavera, Estefania, Leyva-Vallina, Maria, Sarker, Md. Mostafa Kamal, Puig, Domenec, Petkov, Nicolai, Radeva, Petia
Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a person's health habits by the examination of daily recorded egocentric p
Externí odkaz:
http://arxiv.org/abs/1905.04097
Autor:
Singh, Vivek Kumar, Rashwan, Hatem A., Romani, Santiago, Akram, Farhan, Pandey, Nidhi, Sarker, Md. Mostafa Kamal, Saleh, Adel, Arenas, Meritexell, Arquez, Miguel, Puig, Domenec, Torrents-Barrena, Jordina
Mammogram inspection in search of breast tumors is a tough assignment that radiologists must carry out frequently. Therefore, image analysis methods are needed for the detection and delineation of breast masses, which portray crucial morphological in
Externí odkaz:
http://arxiv.org/abs/1809.01687
Autor:
Sarker, Md. Mostafa Kamal, Rashwan, Hatem A., Talavera, Estefania, Banu, Syeda Furruka, Radeva, Petia, Puig, Domenec
First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. One of the preferences of people is their interaction with food events.
Externí odkaz:
http://arxiv.org/abs/1808.09829
Autor:
Singh, Vivek Kumar, Rashwan, Hatem A., Saleh, Adel, Akram, Farhan, Sarker, Md Mostafa Kamal, Pandey, Nidhi, Abdulwahab, Saddam
In this paper, an optic disc and cup segmentation method is proposed using U-Net followed by a multi-scale feature matching network. The proposed method targets task 2 of the REFUGE challenge 2018. In order to solve the segmentation problem of task 2
Externí odkaz:
http://arxiv.org/abs/1807.11433