[CHEN, Rong-Tai, CHEN, Hong-Hao, HSU, Jen-Feng, CHANG, Ruey-Feng, LAI, Hsin-Hung, CHANG, Yuan-Yen] 3F.-8, No. 100, Sec. 2, Heping E. Rd. Da'an Dist., 10664 Taipei City, TW A system and a method for cloud medical image analysis are provided. The system for cloud medical image analysis has a cloud medical analysis platform and an electronic device. The electronic device obtains a medical image. The electronic device quantifies the medical image to obtain a first feature value. The electronic device sends the first feature value to the cloud medical analysis platform. The cloud medical analysis platform inputs the first feature value into an analysis module to obtain an analysis result, wherein the analysis module uses a self-learning module and the analysis module is trained via a plurality of training images. The cloud medical analysis platform sends the analysis result to the electronic device. ＜img id="iaf01" file="imgaf001.tif" wi="78" he="84" img-content="drawing" img-format="tif" /＞

[Ruey-Feng Chang, Jen-Feng Hsu, Hong-Hao Chen, Rong-Tai Chen, Tsung-Chen Chiang, You-Wei Wang, Hsin-Hung Lai] TW Taipei A focus detection apparatus and a method thereof are provided. In the method, a medical image is obtained. Size of a target focus and a sliding window are determined, and side length of the sliding windows is at least twice the side length of the target focus. The medical image is scanned through the sliding window, and a stride which the sliding windows moves each time is not greater than the side length of the target focus. At least one area of interest is obtained based on the scan result. Then, the area of interest is identified based on machine learning techniques, and perform candidate aggregation and multiple size aggregation to determine at least one focus position. Accordingly, the computational time and the detection accuracy can be improved.

[CHANG RUEY-FENG, CHEN RONG-TAI, LAI HSIN-HUNG, CHEN HONG-HAO] TW A medical image processing apparatus and breast image processing method thereof are provided. The processing method at least contains but not limited to the following steps. At least on slice of breast image is obtained. Mammary glandular tissue in each breast image is detected through a mammary glandular tissue detector. The mammary glandular tissue detector is based on texture characteristic analysis. Therefore, the embodiments of the present disclosure would assist density analysis of the mammary glandular tissue and efficiently reduce false positive of computer aided detection. In addition, based on a result of the density analysis of the mammary glandular tissue, the embodiment would further determine lactation yield and present density diagrams of mammary glandular tissue of left and right breasts.

[CHEN RONG TAI, CHANG RUEY FENG, CHANG JIE FAN, CHEN HENG, LO CHUNG MING, LAI HSIN HUNG] TW The invention provides a medical image playing system for playing a continuous image corresponding to a particular region of the human body. The system includes: a main display module for displaying the continuous image, a sub display system for displaying at least one information of image sections of the continuous image, and an instruction receiving module for receiving at least an external instruction. The instruction receiving module is arranged in the sub display module and combined with the at least one information, such that when the instruction receiving module receives the at least one external instruction, the at least one information corresponding to the external instruction is transmitted to the main display module to display the image corresponding to the at least one information.

[Rong-Tai Chen, Ruey-Feng Chang, Jie-Fan Chang, Heng Chen, Chung-Ming Lo, Hsin-Hung Lai] TW Taipei City The invention provides a medical image playing system for playing a continuous image corresponding to a particular region of the human body. The system includes: a main display module for displaying the continuous image, a sub display system for displaying at least one information of image sections of the continuous image, and an instruction receiving module for receiving at least an external instruction. The instruction receiving module is arranged in the sub display module and combined with the at least one information, such that when the instruction receiving module receives the at least one external instruction, the at least one information corresponding to the external instruction is transmitted to the main display module to display the image corresponding to the at least one information.

[CHANG RUEY-FENG, WANG YOU-WEI, CHEN RONG-TAI, CHEN HONG-HAO, HSU JEN-FENG, LAI HSIN-HUNG] TW

[CHANG RUEY-FENG, WANG YOU-WEI, CHEN RONG-TAI, CHEN HONG-HAO, HSU JEN-FENG, LAI HSIN-HUNG] TW A lesion detecting method and a lesion detecting apparatus for breast image in a rotating manner are provided. In the method, a set of breast image in the rotating manner is obtained. The set of breast image in the rotating manner contains sub breast images. The sub breast image is reconstructed, to generating a reconstructed breast image. The reconstructed breast image is compared with the set of breast image in the rotating manner without being reconstructed, to confirm at least one lesion position. Therefore, reviewing a three dimension breast image would be convenient for medical staff, and false positive of detecting lesion would be reduced.

[CHANG RUEY-FENG, CHEN RONG-TAI, LAI HSIN-HUNG, CHEN HONG-HAO] TW A medical image processing apparatus and breast image processing method thereof are provided. The processing method at least contains but not limited to the following steps. At least on slice of breast image is obtained. Mammary glandular tissue in each breast image is detected through a mammary glandular tissue detector. The mammary glandular tissue detector is based on texture characteristic analysis. Therefore, the embodiments of the present disclosure would assist density analysis of the mammary glandular tissue and efficiently reduce false positive of computer aided detection. In addition, based on a result of the density analysis of the mammary glandular tissue, the embodiment would further determine lactation yield and present density diagrams of mammary glandular tissue of left and right breasts. Also, breast region in the breast image would be distinguished based on rib information.

[CHEN RONG-TAI, CHEN HONG-HAO, HSU JEN-FENG, CHANG RUEY-FENG, LAI HSIN-HUNG, CHANG YUAN-YEN] TW

[Ruey-Feng Chang, Rong-Tai Chen, Hsin-Hung Lai, Hong-Hao Chen] TW Taipei City A medical image processing apparatus and a breast image processing method thereof are provided. The processing method at least contains but not limited to the following steps. At least one slice of breast image is obtained. Mammary glandular tissue in each breast image is detected through a mammary glandular tissue detector. The mammary glandular tissue detector is based on texture characteristic analysis. Therefore, the embodiments of the present disclosure would assist density analysis of the mammary glandular tissue and efficiently reduce false positive of computer-aided detection. In addition, based on a result of the density analysis of the mammary glandular tissue, the embodiment would further determine lactation yield and present density diagrams of mammary glandular tissue of left and right breasts. A breast region may also be separated from the breast image based on rib information according to the embodiments of the present disclosure.