… We introduce a deep convolutional neural network (CNN) to … to capture microscopic images
in the microscope to diagnose … Also, our electronic technology prevents tuberculosis, cancer, …

… The diagnosis of breast cancer relies on the interpretation of microscopy images from breast
… convolutional neural networks (CNNs) with deep learning architectures to automatically …

… microscope with a 20x objective lens. Then, Mask Region-based Convolutional Neural Network
(Mask … In the end, we take human blood and Nasopharyngeal Carcinoma cancer cells as …

… Harmonic Generation Microscopy with Deep Neural Networks|… microscopy (HGM) with the
deep learning method to instantaneously determine whether the imaged 3D stack is malignant …

… detection method for precancerous screening. Recently, with the development of machine
learning theory based on deep learning, the convolutional neural network … cancer microscopic …

… of lung tumors at a microscopic level, enabling more precise diagnosis and treatment planning.
… risk on computed tomography images using convolutional neural network: A comparison …

… Tongue tumor detection in hyperspectral images using deep learning semantic … separable
convolutional neural network for cell classification of hyperspectral microscopic images[J]. …

… detection is an essential step for cancer diagnosis. Therefore, finding DEJ in 3D OCT data
becomes an important issue for computer-aided diagnosis… deep convolutional neural network (…

… Basal cell carcinoma (BCC) is the most common skin cancer. For … of convolutional neural
networks (CNN) have proved the powerful performance on image classification, object detection…

… +轮廓法 Multi⁃loss convolutional networks for gland analysis in microscopy … detection in
breast cancer pathology images by combining handcrafted and convolutional neural network …