A Dembele,RW Mwangi,AO Kube - 《Journal of Computer & Communications》 被引量: 0发表: 2024年 Hyperspectral Image Classification Network Based on 3D Octave Convolution and Multiscale Depthwise Separable Convolution Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral–...
Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usually followed as
speech perception: evidence from auditory classification images Léo Varnet1,2,3, Tianyun Wang1,2,3, Chloe Peter1,3, Fanny Meunier2,3 & Michel Hoen1,3,4 It is now well established that extensive musical training percolates to higher levels of cognition, such as speech processing...
In the second stage of the layered structure, another classifier as the “CLASSIFIER II” has been used to separate dysplastic nevi from BCC. However, in this stage of binary classification, the images have been grouped as dysplastic nevi and “others,” where “others” have the probability ...
The patterns are typically exclusive to the specific class of images which results in distinct class differentiation. Once the computer has learned these important image features and recognizes them in the training data, it can use them to classify new images that it has never seen before. In ...
Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images is based on the deep fully convolutional neural network (FCNN) which is used for classification of each detected pulmonary nodule into four lung cancer st... A Masood,B Sheng,P Li,......
In European Conference on Computer Vision (ECCV). 2016. arXiv:1603.05027, Torch implementation Zagoruyko, Sergey, and Nikos Komodakis. "Wide Residual Networks." Proceedings of the British Machine Vision Conference (BMVC), 2016. arXiv:1605.07146, Torch implementation Huang, Gao, Zhuang Liu, Kilian...
Thyroid nodule segmentation and classification in ultrasound images are two essential but challenging tasks for computer-aided diagnosis of thyroid nodules. Since these two tasks are inherently related to each other and sharing some common features, solving them jointly with multi-task leaning is a pro...
Image classification using super-vector coding of local image descriptors. In: Daniilidis, K., Maragos, P., Paragios, N. eds. (2010) Computer Vision... thomass,xizhou,kaiyu 被引量: 0发表: 0年 CBIR Framework based on Bag-of-Features (BoF) and Super Vector Coding (SVC) Feature coding ...
A growing body of scholarship investigates the role of misinformation in shaping the debate on climate change. Our research builds on and extends this literature by (1) developing and validating a comprehensive taxonomy of climate contrarianism, (2) cond