METHOD FOR TUMOR DETECTION IN SCANNED IMAGES

Abstract

ABSTRACT A method (100) for tumor detection in scanned images, the method (100) comprising: acquiring a scanned image of the tumor for analysis, at step 102; preprocessing the acquired image to mitigate undesired distortions while amplifying beneficial image features, wherein the preprocessing includes enhancing contrast and reducing noise to improve the overall quality of the image, at step104; defining a region of interest (ROI) within the acquired images where tumor detection will be focused, thereby localizing the area for further analysis, at step 106; selecting an appropriate image segmentation technique based on the requirements of the image modality, wherein the technique may be a single, multiple, or hybrid approach to optimize segmentation results, at step108; executing, post-processing on the binary representation of the image specifically targeting the description of features associated with tumor presence, at step 110; and evaluating the final output

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a method for tumor detection in scanned images that enhances the accuracy and efficiency of medical imaging analysis, providing critical support for diagnostic processes.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Conventional medical image segmentation has long been a fundamental component of diagnostic imaging, facilitating the identification and delineation of anatomical structures and pathological features within medical images. This p , Claims:1. A method (100) for tumor detection in scanned images, the method (100) comprising:
acquiring, via a processor, a scanned image of the tumor for analysis, at step 102;
preprocessing, via the processor, the acquired image to mitigate undesired distortions while amplifying beneficial image features, wherein the preprocessing includes enhancing contrast and reducing noise to improve the overall quality of the image, at step104;
defining, via the processor, a region of interest (ROI) within the acquired images where tumor detection will be focused, thereby localizing the area for further analysis, at step 106;
selecting, via the processor, an appropriate image segmentation technique based on the requirements of the image modality, wherein the technique may be a single, multiple, or hybrid approach to optimize segmentation results, at step108;
executing, the processor, post-processing on the binary representation of the image, wherein procedural steps such as deformation and expansion are applied to refine and m

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