41 citations · 86 across the 9 of their papers we have counts for
11 papers · 1 filter
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
Eddardaa B. Loussaief, Mohammed Ayad, Domenc Puig +1
The joint utilization of diverse data sources for medical imaging segmentation has emerged as a crucial area of research, aiming to address challenges such as data heterogeneity, d…
Absolute distance prediction based on deep learning object detection and monocular depth estimation models
Armin Masoumian, David G. F. Marei, Saddam Abdulwahab +3
Determining the distance between the objects in a scene and the camera sensor from 2D images is feasible by estimating depth images using stereo cameras or 3D cameras. The outcome…
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…