With numerous medical tasks, the performance of deep models has recently...
Depth estimation is a challenging task of 3D reconstruction to enhance t...
Determining the distance between the objects in a scene and the camera s...
Lung cancer is deadly cancer that causes millions of deaths every year a...
In this paper, we propose an efficient blood vessel segmentation method ...
This paper proposes an efficient solution for tumor segmentation and
cla...
Skin lesion segmentation in dermoscopic images is a challenge due to the...
Recent studies have shown that the environment where people eat can affe...
Robot-Assisted Therapy (RAT) has successfully been used in HRI research ...
Interpretability is a key factor in the design of automatic classifiers ...
Mammogram analysis to manually extract breast masses is a tough assignme...
First-person (wearable) camera continually captures unscripted interacti...
This paper proposed a retinal image segmentation method based on conditi...
Diversity of food and its attributes represents the culinary habits of
p...
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task f...
This paper proposes a novel approach for breast mass segmentation in
mam...
Deep neural network models have been proven to be very successful in ima...
Understanding the internal process of ConvNets is commonly done using
vi...