116 citations · 314 across the 20 of their papers we have counts for
9 papers · 1 filter
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani +8
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 an…
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images
Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan +2
This paper aims at developing an automatic algorithm for moth recognition from trap images in real-world conditions. This method uses our previous work for detection [1] and introd…
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefania Talavera +3
First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. O…
REFUGE CHALLENGE 2018-Task 2:Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks
Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh +4
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 REFUG…
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network
Vivek Kumar Singh, Hatem Rashwan, Farhan Akram +7
This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two success…
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan +9
This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structur…
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan +4
Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of peopl…
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model, so-called SL…
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object
Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos +2
In the context of 2D/3D registration, this paper introduces an approach that allows to match features detected in two different modalities: photographs and 3D models, by using a co…