AIMC Topic: Neoplasm, Residual

Clear Filters Showing 31 to 35 of 35 articles

[Value of the deep learning automated quantification of tumor-stroma ratio in predicting efficacy and prognosis of neoadjuvant therapy for breast cancer based on residual cancer burden grading].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer. Specimens were collected from 209 breast cancer patients who receive...

Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine.

Oncotarget
We investigated the ability of support vector machines (SVM) to analyze minimal residual disease (MRD) in flow cytometry data from patients with acute myeloid leukemia (AML) automatically, objectively and standardly. The initial disease data and MRD ...

Impact of Positive Surgical Margins after Radical Prostatectomy on Disease Progression and Adjuvant Treatment in Pathologically Localized Prostate Cancer.

Collegium antropologicum
The aim of our study was to evaluate the impact of margin positivity in clinically and pathologically localized prostate cancer (pT2) after radical prostatectomy on biochemical recurrence and time to adjuvant treatment. We analyzed data from 371 pati...