Image enhancement technique can effectively make the medical image clear, which is
conducive to the later diagnosis and treatment of diseases. During the process of medical …

In this chapter, we present a deep learning-based, joint nuclei segmentation and fine-
grained classification method in histopathology images, which solves the nuclei …

Effect of interventional embolization treatment for hydrosal... : Medicine Effect of interventional
embolization treatment for hydrosalpinx on the outcome of in vitro fertilization and embryo …

The diagnosis of solid tumors of epithelial origin (carcinomas) represents a major part of the
workload in clinical histopathology. Carcinomas consist of malignant epithelial cells …

Breast cancer is one of the leading causes of death by cancer in women, and it often
requires accurate detection of metastasis in lymph nodes through Whole-slide Images …

Neurodegenerative disease pathologies have been reported in both grey matter (GM) and
white matter (WM) with different density distributions, an automated separation task of …

UNeXt is a leading medical image segmentation method that employs convolutional and
multi-layer perceptron (MLP) structure for its segmentation network. It outperforms other …

Background: The size of whole slide images (WSIs) in digital pathology can vary from
millions to billions of pixels. Accordingly, training state-of-the-art deep learning models with …

目的病理学检查是明确乳腺癌诊断及肿瘤类型的金标准. 深度神经网络广泛应用于乳腺病理全
切片的诊断工作并取得了明显进展, 但是现有大多数工作只是将全切片切割成小图像块 …

Research on pseudo-CT imaging technique based on an ultrasou... : Medicine Research on
pseudo-CT imaging technique based on an ultrasound deformation field with binary mask in …