Match!
Vivek Kumar Singh
Rovira i Virgili University
6Publications
2H-index
20Citations
Publications 8
Newest
Abstract 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 tumors, which portray crucial morphological information that will support reliable diagnosis. In this paper, we proposed a conditional Generative Adversarial Network (cGAN) devised to segment a breast tumor within a region of interest (ROI) in a mammogram. The generative network learns ...
Source
#1Mohamed Abdel-Nasser (URV: Rovira i Virgili University)H-Index: 5
#2Antonio Moreno Jiménez (URV: Rovira i Virgili University)H-Index: 34
Last.Domenec Puig (URV: Rovira i Virgili University)H-Index: 16
view all 7 authors...
Matching candidate points from multiple mammographic views corresponding to the same patient may lead to an improvement in the accuracy of Computer Aided Diagnosis systems and it can help the radiologists to detect breast cancer in early stages, leading to a reduction of the percentage of mortality. In this paper, we propose a matching approach in order to detect correspondences between some candidate points from multiple mammographic views. Initially, a Scale Invariant Feature Transform detecto...
Source
Jan 1, 2019 in VISIGRAPP (International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications)
#1Adel Saleh (URV: Rovira i Virgili University)H-Index: 4
#2Hatem A. Rashwan (URV: Rovira i Virgili University)H-Index: 8
Last.Domenec Puig (URV: Rovira i Virgili University)H-Index: 16
view all 8 authors...
Image semantic segmentation is in the center of interest for computer vision researchers. Indeed, huge number of applications requires efficient segmentation performance, such as activity recognition, navigation, and human body parsing, etc. One of the important applications is gesture recognition that is the ability to understanding human hand gestures by detecting and counting finger parts in a video stream or in still images. Thus, accurate finger parts segmentation yields more accurate gestu...
Source
#1Vivek Kumar Singh (URV: Rovira i Virgili University)H-Index: 2
#2Hatem A. RashwanH-Index: 8
Last.Domenec PuigH-Index: 16
view all 8 authors...
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 tumor features at different resolutions of BUS images. To automatically re-balance the relative impact of each of the highest level encoded features, we also propose to add a channel-wise weighting block in the network. In addition, the SSIM and L1-n...
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 SLSDeep, which is represented as an encoder-decoder network. The encoder network is constructed by dilated residual layers, in turn, a pyramid pooling network followed by three convolution layers is used for the decoder. Unlike the traditional methods employing a cross-entropy loss, we investigated a loss function by com...
12 Citations
#1Adel Saleh (URV: Rovira i Virgili University)H-Index: 4
#2Mohamed Abdel-Nasser (Aswan University)H-Index: 5
Last.Domenec Puig (URV: Rovira i Virgili University)H-Index: 16
view all 8 authors...
This paper proposes a new visual embedding method for image classification. It goes further in the analogy with textual data and allows us to read visual sentences in a certain order as in the case of text. The proposed method considers the spatial relations between visual words. It uses a very popular text analysis method called ‘word2vec’. In this method, we learn visual dictionaries based on filters of convolution layers of the convolutional neural network (CNN), which is used to capture the ...
Source
1