V5med Inc.

Taipei Veterans General Hospital

V5 Technologies Co., Ltd.

Chien-Ting Yang

Tzu-Kuei Shen

Guang-hao Suen

Liang-wei Sheu

Kuo-Tung Hung

Linda Siana

Yi-Han Hsiao

Yueh-Heng Lee

Yu-Hsun Kao

Yuh-Min Chen

Chien-Chung Huang

Heng-sheng Chao

Chung-Wei Chou

Tsu-Hui Shiao

Chi-Lu Chiang

Jung Chen Hsu

A system and a method for cell statistics based on image recognition is disclosed. A microscope captures the full image of a microslide, selects an interest region from the full image, and divides the region into sub-regions. A camera scans and transits the sub-regions to a host. The host performs image recognition on the scanned images to recognize various cells, and accumulates the number of the various cells in each of the scanned images to obtain a cell ratio of each type of the cells. When the number is accumulated and a difference among the cell ratios of the N consecutive scanned images is less than a preset value, the host stops scanning the remains of the sub-regions and outputs the cell ratio of each type of the presently-accumulated cells. The method can obtain various cell ratios of tissue samples for diagnosis.

System and method for cell statistics based on image recognition

A system and a method for determining characteristic cells based on image recognition. In the method, a scanning device capturing a full image of the microslide; a host selecting images that comprise stained blocks from the full image; the host sequentially performing image recognition to recognize stained cells of the images, and determining whether the stained cells comprise the characteristic cells with an AI model; and selecting interested images from the images that comprise the characteristic cells, transforming the coordinate system of the interested images into the original coordinate system of the full image, and employing the scanning device to capture the interested images along the Z axis of the original coordinate system of the full image, thereby obtaining and outputting sets of pictures. The present invention can quickly determine whether there are characteristic cells in the tissue under test, so as to provide a diagnostic reference for doctors.

System and method for determining characteristic cells based on image recognition

A medical image paging display system includes at least one processor and a display. The processor creates a feature layer for graphical display according to at least one feature point of tissue images, and applies the feature layer to the tissue images. The feature layer includes the mark information, a page number bar, and a cursor and a feature-page mark on the page number bar. The screen shows the tissue image corresponding to the location of the cursor on the page number bar when the cursor moves on the page number bar. The screen shows the tissue image corresponding to the feature-page mark when the cursor moves to the feature-page mark. The system can quickly jump to the tissue image with a feature point and control the cursor to move several tissue images back and forth, which is helpful in observation and identification of tissue features.

Medical image paging display system

A system for facilitating medical image interpretation includes a processing unit and a display control unit. The processing unit includes a location information module generating a reference location indicator, and a feature marking module generating indication markers. The display control unit is in signal connection with the processing unit and a display device. The display control unit includes an image displaying module controlling the display device to display tissue images, and an auxiliary information displaying module controlling the display device to display, for each of the tissue images displayed by the display device, the reference location indicator and the indication markers together on the tissue image.

System for facilitating medical image interpretation

Growing community of inventors

Hsinchu, Taiwan

Chien-Ting Yang