… To study the prediction of gene mutations from histopathologyimages, we modified the inception v3 to perform multitask classification rather than a single-task classification. Each …
Z Li, J Zhang, T Tan, X Teng, X Sun… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
… the applications of CNNs to histopathologicalimages of lungcancer. Furthermore, no public … on lungcancer detection was only on cytological image [48]. The size of each image was …
DZ Karim, TA Bushra - TENCON 2021-2021 IEEE Region 10 …, 2021 - ieeexplore.ieee.org
… The dataset used in this study contains 15000 lunghistopathologyimages. This dataset is … lungcancer using histopathologicalimages. The whole dataset consisted of 15000 images …
… based method for detection of lungcancer in whole slide histopathologyimages. VGG16 and … have potential to perform lungcancer diagnose from whole slide images, but more effort is …
N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
… Therefore, early and accurate detection of lungcancer histology is an urgent need, and as … to analyze histopathologyimages of lungcancer. However, manual analysis of histopathology …
J Civit-Masot, A Bañuls-Beaterio… - Computer Methods and …, 2022 - Elsevier
… It contains lung and colon tissue images, but this work has focused only on the lungcancer images contained in the dataset. Those images represent zoomed sections of biopsied tissue …
Y Yang, J Yang, Y Liang, B Liao, W Zhu, X Mo… - Frontiers in …, 2021 - frontiersin.org
… -L1) treatment for lungcancer is primarily recognized as an … stained pathological images of lungcancer tissues, as well as to … whole slice images (WSIs) of lungcancer downloaded from …
S Mangal, A Chaurasia, A Khajanchi - arXiv preprint arXiv:2009.03878, 2020 - arxiv.org
… Image classification is a challenging task for the visual content, particularly microscopic images for example histopathologicalimages … textures present in histopathology of images. Deep …
Z Wu, L Wang, C Li, Y Cai, Y Liang, X Mo, Q Lu… - Frontiers in …, 2020 - frontiersin.org
… for different types of cancers. Also, our results suggest that deep learning of histopathological imaging features can predict the prognosis of lungcancer patients, thereby assisting health …