Provided is a medical image analyzing system and a method thereof, which includes: acquiring a processed image having a segmentation label corresponding to a cancerous part of an organ (if present), generating a plurality of image patches therefrom, performing feature analysis on the image patches and model training to obtain prediction values, drawing a receiver operating characteristic curve using the prediction values, and determining a threshold with which determines whether the image patches are cancerous, so as to effectively improve the detection rate of, for example, pancreatic cancer.

A lesion detection ensemble machine learning model architecture comprising a plurality of trained machine learning (ML) computer models is provided. A first decoder of a lesion detection ML model processes a medical image input to generate a first lesion mapping prediction. A second decoder of the lesion detection ML model processes the medical image input to generate a second lesion mapping prediction. Combinational logic combines the first and second lesion mapping predictions to generate a combined prediction. Final lesion mapping output logic generates a final lesion prediction based on the combined lesion mapping prediction. The final lesion mapping output logic outputs the final lesion prediction for further downstream computing operations. The first decoder is trained with a first loss function that is configured to counterbalance a training of the second decoder that is trained using a second loss function different from the first loss function.

A method and system to treat headaches in a patient by performing surgery via at least one nostril. Data from a computer tomography scan of at least one nasal cavity and one sinus cavity of the patient and a completed headache questionnaire are matched to at least one nasal/sinus surgery plan to operate on at least one of; a nasal septum, at least one sinus cavity and at least one turbinate of the patient. The surgery plan is executed by installing a topical local anesthetic and decongestant onto the at least one turbinate forming an anesthetized decongested nasal cavity; infusing an anesthetic into the anesthetized decongested nasal cavity of the patient; dilating the at least one sinus ostium; incising at least one of: a first mucosal flap or a second mucosal Hap of the nasal septum of the anesthetized decongested nasal cavity to expose deviated septal cartilage and bone; removing deviated cartilage and/or bone of the nasal septum; fracturing the at least one turbinate laterally away from the nasal septum; inspecting between the first mucosal flap and the second mucosal flap for a residual broken hone, a residual segment of cartilage or combinations thereof, surgically closing the first mucosal flap and the second mucosal flap of the nasal septum; and suctioning unwanted matter from the anesthetized decongested nasal cavity. An interactive system guides the surgery and provides a record thereof.

Ultra-high field (“UHF”) magnetic resonance imaging (“MRI”) is used to localize the endopiriform nucleus (“EPN”) as a target for neuromodulation treatment. Single or multiple different image contrasts can be used to guide localization of the EPN. Treatment plan data are generated based on the localized EPN, and may include coordinate data, trajectory data, or both, for delivering neuromodulation treatment to the localized EPN.

Hyperspectral, fluorescence, and laser mapping imaging with a minimal area image sensor are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation, wherein the pixel array comprises active pixels and optical black pixels. The system includes a black clamp circuit providing offset control for data generated by the pixel array. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 513 nm to about 545 nm; electromagnetic radiation having a wavelength from about 565 nm to about 585 nm; electromagnetic radiation having a wavelength from about 900 nm to about 1000 nm; an excitation wavelength of electromagnetic radiation that causes a reagent to fluoresce; or a laser mapping pattern.

An input unit (20) obtains a sequence of image frames over time. A segmentation unit (22) segments image frames of the sequence of image frames. A tracking unit (24) tracks segments of the segmented image frame over time in the sequence of image frames. A clustering unit (26) clusters the tracked segments to obtain clusters representing skin of a subject by use of one or more image features of the tracked segments.

A system and method for detecting a tissue property. The system comprises a first unit positioned outside a patient body and a second unit positioned inside the patient's body. The first unit includes a first housing, and a magnetic field source supported by the first housing. The second unit includes a second housing, a pressure sensor supported by the second housing, a localization module supported by the second housing, a controller, and a power source. The pressure sensor is configured to detect an indentation force applied to the tissue, and the second unit is configured to wirelessly transmit the indentation force data and localization data to a computer to generate a volumetric stiffness map for the tissue.

A vehicle security method includes: acquiring an input signal from a sensor unit equipped in a vehicle; setting a detection mode to a heart rate detection mode, in response to a security release operation being started, setting a radar sensor of the sensor unit to detect a target, and detecting heart rate information on the target; determining whether the heart rate information matches pre-stored heart rate information; setting the detection mode to a general detection mode, in response to the heart rate information matching the pre-stored heart rate information, measuring a distance, an azimuth, and/or an elevation angle between the vehicle and the target, and detecting body shape information of the target; determining whether the body shape information matches pre-stored body shape information; and releasing a security of a security device, in response to the body shape information matching the pre-stored body shape information.

Image rotation in an endoscopic laser mapping imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a rotation sensor for detecting an angle of rotation of a lumen relative to a handpiece of an endoscope. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter is a laser mapping pattern.

The present disclosure provides a device for evaluating a mechanical property of a material. The device comprises a sensing layer that has a contact surface for contacting a surface area of the material. The sensing layer has a property or dimension that is pressure sensitive. The device also comprises a detector arranged to detect electromagnetic radiation that propagates through at least the sensing layer. The device is arranged such that, when the contact surface of the sensing layer is in contact with the surface area of the material and a load is applied on at least a portion of the surface area of the material, the detected electromagnetic radiation can be used to determine stress within a portion of the sensing layer, the determined stress being indicative of the mechanical property of the material.