… the applications of CNNs to histopathological images of lung cancer. Furthermore, no public
… on lung cancer detection was only on cytological image [48]. The size of each image was …

… of Segmentation Methods The segmentation of nuclei in cancer histopathology images
can … Similarly, a two-stage segmentation method to obtain cellular structures in high-dimensional …

… that jointly segments and classifies different types of nuclei from histopathology images. We
… and perceptual loss to enhance the segmentation of details in the image. We also make use …

… Digital pathology scanners can provide whole slide images (WSI) with a very high resolution…
and segmentation of tumour tissues.[5] Currently, most types of histology images are mainly …

… lung cancer using histopathological images. In this work, the histopathological images
underwent preprocessing, followed by segmentation using a modified approach of KFCM-based …

… Such segmentation serves as the basis for various image analysis tasks, such as cell
composition, spatial organization, and substructure-specific morphological properties. …

… successfully used for segmentation 18 or classification of medical images 19 and more … To
study the prediction of gene mutations from histopathology images, we modified the inception …

… The tumor cells in an histopathological image exhibit high amounts of irregularity and … the
histopathological lung images into different cancer types after preprocessing the images using …

… to the detection of lung cancer in medical imaging, specifically addressing the problem of
segmentation of tumor and non-tumor tissue on TMA histopathological images through the …

… into image segmentation and … image segmentation, which were considered as two
fundamental issues in the field of computer vision. In this work, the problem of image segmentation …