72 Result(s)

Article

A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification

Microscopic image analysis technology helps solve the inadvertences of artificial traditional methods in disease, wastewater treatment, and environmental change monitoring analysis. Convolutional neural networ...

Jian Wu, Wanli Liu, Chen Li, Tao Jiang… in Neural Computing and Applications (2024)

Chapter and Conference Paper

High Order Conditional Random Field Based Cervical Cancer Histopathological Image Classification

Cervical cancer ranks as the fourth most frequently diagnosed cancer. This disease has an extended precancerous stage and can be completely cured and prevented through early detection. Currently, the analysis ...

Shangqi Zhou, **ntong Li, Yanyu Fu… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients During Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue

Lymphoma is a malignant tumor, and diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma. Due to its biological characteristics, surgical treatment is difficult. The main trea...

Tianming Du, Hongzan Sun, **zhu Yang… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

Multiple Machine Learning Fusion Based Analysis of Fat Composition in CT Images

Intra-abdominal fat is a crucial factor in determining metabolic syndrome and insulin resistance. Therefore, high levels of intra-abdominal fat are always accompanied by a series of diseases such as diabetes, ...

Yanyu Fu, E. Quanyu, Shangqi Zhou… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

Deep Convolutional Neural Network Based Sperm Detection in Microscopic Videos

In recent years, with the increasingly serious quality problems of human sperm, the performance of traditional sperm analysis methods has been unable to meet the growing demand for diagnosis and treatment. The...

Shiyi Ma, **dong Li, Wenbo Zhang… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

Skin Cancer Image Identification Using Deep Convolutional Neural Networks

Skin cancer is a type of cancer and has emerged as one of the most prevalent types over the past decade. Early diagnosis and treatment are a key factor in the treatment of skin cancer. The traditional clinical...

Wenbo Zhang, **aolin Sun, Shiyi Ma… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

Texture Features and Machine Learning Based Environmental Microorganism Microscopic Image Classification

In recent years, with the continuous development of molecular biology technology, the effective use of environmental microorganisms to solve the problem of pollution in the ecological environment has been wide...

**nyu Ouyang, Huaqian Yuan, Shangqi Zhou… in Proceedings of International Conference on… (2024)

Chapter and Conference Paper

PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection

Blood testing has always been one of the important methods for disease diagnosis, but currently, blood testing instruments face the problems of long time consumption, complex processes, and limited detection t...

Shuyao You, Mingshi Li, Wanli Liu, Hongzan Sun… in Advanced Data Mining and Applications (2023)

Chapter and Conference Paper

LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect

Blood testing is an important basis for the diagnosis of many diseases. However, the accuracy of detection instruments in hospitals is often not high, and manual detection of blood samples is sometimes necessa...

Mingshi Li, Shuyao You, Wanli Liu, Hongzan Sun… in Advanced Data Mining and Applications (2023)

Article

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

With the development of Computer-aided Diagnosis (CAD) and image scanning techniques, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. Therefore, WSI analysis has become th...

**ntong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun… in Artificial Intelligence Review (2022)

Article

A new pairwise deep learning feature for environmental microorganism image analysis

Environmental microorganism (EM) offers a highly efficient, harmless, and low-cost solution to environmental pollution. They are used in sanitation, monitoring, and decomposition of environmental pollutants. Howe...

Frank Kulwa, Chen Li, **ghua Zhang… in Environmental Science and Pollution Resear… (2022)

Chapter and Conference Paper

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning

Breast cancer has the highest prevalence in women globally. The classification of breast cancer histopathological images has always been a hot spot of clinical concern. In Computer-Aided Diagnosis (CAD), tradi...

Yuchao Zheng, Chen Li, **aomin Zhou, Haoyuan Chen… in Information Technology in Biomedicine (2022)

Article

Does a reintroduction of the Eurasian lynx in Poland pose a threat to the species’ recovery in Central Europe? Reply to Kutal et al. (2021)

Magdalena Tracz, Maciej Tracz, Marcin Grzegorzek… in Biodiversity and Conservation (2022)

Chapter and Conference Paper

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification

Cervical cancer is a very common cancer among women. Cytopathologists use a microscope to examine cell slides collected from the patient’s cervix to determine if it is cancerous. However, manually checking the...

Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu… in Information Technology in Biomedicine (2022)