Wei Tang

Integrating ToF-SIMS and machine learning reveals a mammary tumor-associated multi-ion signature — analysis code

Auraya Manaprasertsak, Wei Tang, Caroline Lööf, Laila Azemovic, Sofie Mohlin, Catharina Hagerling, et al.

Analysis code, result tables, and figures for a time-of-flight secondary ion mass spectrometry (ToF-SIMS) machine-learning study of a mammary tumor-associated multi-ion signature and its detectability across biological samples in the MMTV-PyMT mouse model of breast cancer. Accomp…Read more

Integrating ToF-SIMS and machine learning reveals a mammary tumor-associated multi-ion signature — analysis code

Auraya Manaprasertsak, Wei Tang, Caroline Lööf, Laila Azemovic, Sofie Mohlin, Catharina Hagerling, et al.

Analysis code, result tables, and figures for a time-of-flight secondary ion mass spectrometry (ToF-SIMS) machine-learning study of a mammary tumor-associated multi-ion signature and its detectability across biological samples in the MMTV-PyMT mouse model of breast cancer. Accomp…Read more

Raw spectra for Integrating ToF-SIMS and machine learning reveals a mammary tumor-associated multi-ion signature

Auraya Manaprasertsak, Wei Tang, Caroline Lööf, Laila Azemovic, Sofie Mohlin, Catharina Hagerling, et al.

Early Detection of Surface Mildew in Maize Kernels Using Machine Vision Coupled with Improved YOLOv5 Deep Learning Model

Yu Xia, Ao Shen, Tianci Che, Wenbo Liu, Jie Kang, Wei Tang

Mildew in maize kernels is typically caused by various fungi, necessitating prompt detection and treatment to minimize losses during harvest and storage. In this study, a deep learning YOLOv5s algorithm based on machine vision technology was employed to develop a maize seed surfa…Read more