2 results about "Tissue handling" patented technology

X-ray images generated by a biopsy tissue handling device are selectively modified to emphasize regions of interest and de-emphasize or eliminate image regions that are distracting, impair viewing attention, and / or cause eye strain. An image processor performs an image mask based on the geometry of a portion of a specimen tray that includes a storage compartment having a tissue specimen. A compartment mask is performed on a portion of an X-ray image that depicts the storage compartment including the tissue specimen. The compartment mask boundary substantially corresponds to the outline of the compartment. A partial structure mask is performed on a portion of the X-ray image that depicts the specimen tray and a corresponding wall of the storage compartment. The partial structure mask boundary extends along a corresponding length and partially through the corresponding wall of the specimen tray.

This invention discloses a deep learning-based surgical quality assessment method and system, relating to the field of medical information. The method includes: acquiring preoperative three-dimensional images and generating a surgical operation space baseline map using a first deep neural network; continuously acquiring real-time instrument pose data and high-definition video frame sequences of the surgical area tissue during surgery; using a spatiotemporal attention mechanism for dynamic registration to construct an instrument-tissue interaction spatiotemporal feature set; calculating instrument operation standardization scores and tissue processing accuracy scores using a second deep neural network; acquiring postoperative physiological recovery indicators; inputting the two scores and indicators into a causal inference model to quantify their respective marginal contributions and generate a comprehensive quality assessment index; and outputting a graded assessment conclusion based on the comparison results of this index with multi-level thresholds. This invention achieves an objective, interpretable, and clinically predictive quantitative assessment of surgical quality by integrating data from the entire chain of preoperative planning, intraoperative operation, and postoperative recovery.