Intracranial hemorrhage is a life-threatening disease, which requires fast medical intervention. Owing to the duration of data annotation, head CT images are usually available only with slice-level labeling. This paper presents a weakly supervised method of precise hemorrhage localization in axial slices using only position-free labels, which is based on multiple instance learning. An algorithm is introduced that generates hemorrhage likelihood maps and finds the coordinates of bleeding. The Dice coefficient of 58.08 % is achieved on data from a publicly available dataset.
A miniaturized scintillation probe has been developed to assist the surgeon in finding remnants of normal or cancerous thyroid tissue. At an appropriate time before surgery, the patient is given a dose of lS1I or lZ5I. During the operation, the surgeon removes as much tissue as he can see or feel and then uses the probe to help him find the remainder. Beta and gamma rays are detected by a small CsI(T1) crystal, collimated for directivity by the use of an annular, removable, platinum shield. Circuits receiving pulses from the probe convert the counting rate to a loud-speaker sound of varying pitch. With increased counting rate as the probe tip nears an active area, the audio pitch rises; the surgeon can thus hear the response while he watches the position of the probe.
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