Pytorch 中文

To develop and validate a deep learning model for the detection of aberrant anterior tibial artery (AATA) on axial T2-weighted knee MRI, given the surgical relevance of unrecognized AATA and the lack of automated detection tools.

Đó là vì người dịch ưa thích một câu chuyện, và cảm thấy gần gũi với tình huống đã từng trải qua. Tổng số chữ tiếng Trung sau khi hoàn thành khoảng 1080 chữ, tính cả tiêu đề.

Candidemia is a rare but life-threatening bloodstream infection that remains difficult to predict using conventional risk stratification approaches, highlighting the need for improved predictive strategies. As a result, empiric antifungal therapy is often delayed even in high-risk patients.

LANGUAGE NOTE | Document text in Chinese only. 《中國歷史中的情感文化——對明清文獻的跨學科文本研究》是西方漢學中的一部重要著作。該書以明清爲中心，系統研究中國的情感文化。在學術界，無論歷史研究還是文學研究，目前爲止，都鮮少有人涉足這一領域。因此這部書格外引人注目。(撮要取自內文首段)

Detector arrays are commonly used for treatment plan verifications in intensity modulated radiation therapy. However, the intrinsic resolution of detector arrays is limited by the physical dimensions of each single detector and the detector-to-detector distance. This may lead to inaccurate representations of steep gradients and narrow dose peaks.

To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo

LANGUAGE NOTE | Document text in Chinese only. 儒家經學是中國封建社會的上層建築，隨着封建制度的終結，經學在當代成爲一種很少有人問津的冷門學問。但是，冷門學問不等於没有價值，日前香港大學出版社出版的《經學與中國古代文學》表明，適當關注儒家經學，對於中國古代文學研究是完全必要的。(撮要取自內文首段)

To develop a machine-learning model that integrates routine clinical parameters with tumor mutational burden (TMB) and to evaluate its performance in predicting responses to programmed death-1 (PD-1)/programmed death-ligand 1(PD-L1) inhibitors across various cancer types.

I show that a software framework intended primarily for training of neural networks, PyTorch, is easily applied to a general function minimisation problem in science. The qualities of PyTorch of ease-of-use and very high efficiency are found to be applicable in this domain and lead to two orders of magnitude improvement in time-to-solution with very small software engineering effort.