Abstract: Disclosed herein are methods and systems for training machine learning (ML) models to classify activity of objects, comprising selecting a set of frames depicting one or more objects from one or more video sequences each comprising a plurality of consecutive frames, associating the object(s) with each pixel included in a bounding box of the object(s) identified in each frame of the set, computing a motion mask for each frame of the set indicating whether each pixel associated with the object(s) in the frame is changed or unchanged compared to a corresponding pixel in a preceding frame, augmenting an image of the object(s) in each frame of a subset of frames of the set to depict only the changed pixels associated with the object(s) by cutting out the unchanged pixels, and training one or more ML models, using the set of frames, to classify one or more activities of the object(s).

Abstract: A system for imaging and examination of a cervix, comprising a control module connectable with a changeable head configured to image the cervix and collect a tissue biopsy, the head selected from a group consisting of a digital colposcope module, a transvaginal optical probe module and an endo-cervical endoscope module. The system may additionally comprise light source(s) to illuminate cervix tissue; sensing device(s) to generate signal(s) from light and/or to acquire image(s) of a portion of a cervix; and processor(s) in communication with the sensing device(s). The system is configured to: (i) analyze the signal(s); (ii) detect the size of the cervix; (iii) determine parameters defining properties of the cervix; (iv) determine and distinguish normal tissue from abnormal tissue within the cervix; (v) determine the location of area(s) of abnormal tissue in the cervix; and (vi) generate a panoramic view of the cervix.

Abstract: A system for imaging and examination of a cervix, comprising a control module connectable with a changeable head configured to image the cervix and collect a tissue biopsy, the head selected from a group consisting of a digital colposcope module, a transvaginal optical probe module and an endo-cervical endoscope module. The system may additionally comprise light source(s) to illuminate cervix tissue; sensing device(s) to generate signal(s) from light and/or to acquire image(s) of a portion of a cervix; and processor(s) in communication with the sensing device(s). The system is configured to: (i) analyze the signal(s); (ii) detect the size of the cervix; (iii) determine parameters defining properties of the cervix; (iv) determine and distinguish normal tissue from abnormal tissue within the cervix; (v) determine the location of area(s) of abnormal tissue in the cervix; and (vi) generate a panoramic view of the cervix.