Systems and methods for automated analysis of medical images

A computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising:

• providing anatomical imaging data of the target individual acquired by an anatomical imaging device;
• analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof;
• computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object;
• and
• generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object;
• wherein the presentation parameter classifier further computes the at least one presentation parameter according to at least one neighboring anatomical feature indicative of one or more anatomical features located in proximity to the candidate anomalous object;
• wherein the at least one presentation parameter comprises a scale factor for enlarging the sub-set of the anatomical imaging data including the at least one candidate anomalous object, the scale factor is selected according to the at least one neighboring anatomical feature;
• wherein the scale factor is inversely correlated to a distance to the at least one neighboring anatomical feature, wherein a relatively larger scale factor is selected for a relatively smaller distance.

A computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising:

• providing anatomical imaging data of the target individual acquired by an anatomical imaging device;
• analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof;
• computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object;
• and
• generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object;
• wherein the at least one candidate anomalous object is selected from a plurality of candidate anomalous objects associated with a probability value indicative of estimate likelihood of the respective candidate anomalous object denoting an actual anomaly, and further comprising selecting a subset of anomalous objects from the plurality of candidate anomalous objects;
• wherein members of the subset having probability values within a range denoting statistical uncertainty for automatically designating the members of the subset as actual anomalies, wherein the at least one presentation parameter is computed for each member of the selected subset, and the adapted presentation is generated for each member of the selected subset according to corresponding at least one presentation parameter.

A computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising:

• providing anatomical imaging data of the target individual acquired by an anatomical imaging device;
• analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof;
• computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object;
• and
• generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object;
• wherein a unique set of presentation parameters is computed independently for each respective candidate anomalous object according to respective corresponding sub-set of the anatomical imaging data, and wherein a unique adapted presentation is computed independent for each respective candidate anomalous object according to respective corresponding unique set of presentation parameters;
• wherein a viewing angle is selected to at least one of:
• remove or reduce obstructions from one or more anatomical features located in proximity to the candidate anomalous object, position the one or more anatomical features located in proximity to the candidate anomalous object at a predefined reference orientation, and depict selected anatomical features of the at least one candidate anomalous object.

A system for automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising:

• at least one hardware processor;
• and
• a non-transitory memory having stored thereon a code for execution by the at least one hardware processor, the code comprising instructions for:
• obtaining anatomical imaging data of the target individual acquired by an anatomical imaging device;
• analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof;
• computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object;
• and
• generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object;
• wherein a unique set of presentation parameters is computed independently for each respective candidate anomalous object according to respective corresponding sub-set of the anatomical imaging data, and wherein a unique adapted presentation is computed independent for each respective candidate anomalous object according to respective corresponding unique set of presentation parameters;
• wherein a viewing angle is selected to at least one of:
• remove or reduce obstructions from one or more anatomical features located in proximity to the candidate anomalous object, position the one or more anatomical features located in proximity to the candidate anomalous object at a predefined reference orientation, and depict selected anatomical features of the at least one candidate anomalous object.