Plant stem and leaf segmentation and phenotypic parameter extraction using neural radiance fields and lightweight point cloud segmentation networks by Gaofei Qiao, Zhibin Zhang, Bin Niu, Sijia Han, Enhui Yang

“…Even when dealing with tomato and soybean plants, with complex structures, our PointSegNet also achieves the best metrics. Meanwhile, based on the principal component analysis (PCA), we further optimize the method to obtain the parameters such as leaf length and leaf width by using PCA principal vectors. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Previous work has used free energy as a score function and proposed a fine-tuning method that utilized OOD data in the training phase of the classification model, which achieves a higher performance on the OOD detection task compared with traditional methods. …”
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Predicting the site of distant metastases in breast cancer by E. S. Grigoryeva, E. E. Ivanyuk, E. L. Choinzonov, N. V. Cherdyntseva

“…There is a question what factors can influence the direction of spread of tumor cells to a particular organ.Material and Methods. We summarized the data available in the world literature on methods for prediction of the localization of distant metastases in breast cancer patients.Results. …”
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