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We believe that a robot-assisted microscopic vision system will be a useful assistant in routine clinical practice. To further improve the proposed system and to maintain its efficiency, we will conduct a series of experiments to show algorithmic improvements and to collect electronic forms that can be used in real-time. Moreover, we will also investigate the use of a multi-modal learning framework that learns from the user-given freehand segmentation and diagnosis annotations.
Diagnocat can be used in a variety of scenarios, including surgical planning, or neurosurgical planning based on CBCT images. In neurosurgery, navigation systems are being developed to reduce diagnostic errors, errors during surgical procedures, and injuries to patients. These systems are used to align surgical instruments with the patient’s brain or internal organs. Although such a system would be primarily useful for surgical planning purposes, some of the innovative functions we propose, such as precisely and accurately locating and segmenting anatomical structures, can prove to be useful for surgical planning. CBCT imaging is a promising tool for spinal and cranial neurosurgical planning by offering an accurate and detailed review of the patient’s anatomyThe vision system proposed in this paper, when combined with the AI module, could therefore be utilized for navigation and surgical planning purposes in the medical and neurosurgical fields.
We expect to see further research based on our proposal including not only improving existing algorithms but also implementing other research areas of interest to the users (for example, context recognition, image processing, deep learning, and Bayesian recurrent neural networks).
One of our further challenges is to make an intelligent decision support system that is robust to some of the common problems in medical image analysis (for example, image noise, intensity inhomogeneity, likely mis-registration, and variable-resolution images). To maintain the robustness of our decision support system, we will need to study different parts of the proposed solution and experiment with different machine learning techniques to solve some of these problems. d2c66b5586