A recent medical report reveals that while other types of cancer are experiencing negative growth, breast cancer has been the only one with a positive growth rate. That is primarily due to the fact that 1) examination process is a complex and lengthy one and 2) it is not available to the majority of women who live in remote sites. This problem can be solved using advanced networking technologies and signal processing algorithms. Software modules can help detect true negatives (TN), while marking true positives (TP) for further investigation. Depending on the choice of detection software number of false negatives (FN) can be reduced drastically. Since TNs are the majority of examinations, this first step reduces the load on radiologists by a tremendous amount. High-speed networking equipment can accelerate the required clinic-lab connection and make detection, segmentation and image enhancement algorithms readily available to the radiologists. This research describes Asynchronous Transfer Mode Telemammography Network (ATMTN) as a strategy for real-time, on-line screening, detection and diagnosis of breast cancer. ATMTN is a high-speed network integrated with automatic robust CAD/DSP methods for mass detection, Region of Interest (ROI) compression algorithms, and devised with DICOM 3.0 standard. While ATMTN has the advantage of higher penetration into the women for cancer screening, it provides the diagnosis with higher efficiency, better accuracy, and potentially lower cost. ATMTN research goals involved: (1) networking stations for telemammography to demonstrate, evaluate, and validate technologies and methods for delivering mammography screening services via high-speed (155Mbps) links, performing real-time network transmitted, high-resolution mammograms for immediate diagnosis as a “second opinion” strategy. (2) Development of object-oriented compression methods for storage, retrieval, and transmission of mammograms. (3) Inclusion and optimization of detection algorithms for identification of normal images in different resolutions to increase the speed and effectiveness of telemammography. (4) Resolving the compatibility issues between images from different equipment (DICOM standards) and (5) Optimization of an integrated ATMTN with adaptive CAD/DSP methods that are robust for large image databases and input sources.